Triple
T3377638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matrix (Time Lord data store) |
E71104
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
the Amplified Panatropic Computation Network
The Amplified Panatropic Computation Network is a vast, hyper-advanced Gallifreyan data and information processing system used by the Time Lords in the Doctor Who universe.
|
E353930
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: the Amplified Panatropic Computation Network | Statement: [Matrix (Time Lord data store), alsoKnownAs, the Amplified Panatropic Computation Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Amplified Panatropic Computation Network Context triple: [Matrix (Time Lord data store), alsoKnownAs, the Amplified Panatropic Computation Network]
-
A.
SyNAPSE neuromorphic computing program
The SyNAPSE neuromorphic computing program is a DARPA initiative to develop brain-inspired electronic systems that emulate neural architectures for highly efficient, scalable cognitive computing.
-
B.
Soar cognitive architecture
The Soar cognitive architecture is a general-purpose framework for modeling and understanding human cognition through unified theories of problem solving, learning, and decision-making.
-
C.
Intriguing properties of neural networks
"Intriguing properties of neural networks" is a highly influential research paper that revealed surprising vulnerabilities and behaviors of deep neural networks, particularly their susceptibility to adversarial examples.
-
D.
PEGASUS network
The PEGASUS network is a European association of leading universities and institutions dedicated to education and research in aerospace engineering.
-
E.
The Universal Computer
The Universal Computer is a book by mathematician and logician Martin Davis that traces the history and development of the concept of computation and the universal Turing machine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: the Amplified Panatropic Computation Network Triple: [Matrix (Time Lord data store), alsoKnownAs, the Amplified Panatropic Computation Network]
Generated description
The Amplified Panatropic Computation Network is a vast, hyper-advanced Gallifreyan data and information processing system used by the Time Lords in the Doctor Who universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the Amplified Panatropic Computation Network Target entity description: The Amplified Panatropic Computation Network is a vast, hyper-advanced Gallifreyan data and information processing system used by the Time Lords in the Doctor Who universe.
-
A.
SyNAPSE neuromorphic computing program
The SyNAPSE neuromorphic computing program is a DARPA initiative to develop brain-inspired electronic systems that emulate neural architectures for highly efficient, scalable cognitive computing.
-
B.
Soar cognitive architecture
The Soar cognitive architecture is a general-purpose framework for modeling and understanding human cognition through unified theories of problem solving, learning, and decision-making.
-
C.
Intriguing properties of neural networks
"Intriguing properties of neural networks" is a highly influential research paper that revealed surprising vulnerabilities and behaviors of deep neural networks, particularly their susceptibility to adversarial examples.
-
D.
PEGASUS network
The PEGASUS network is a European association of leading universities and institutions dedicated to education and research in aerospace engineering.
-
E.
The Universal Computer
The Universal Computer is a book by mathematician and logician Martin Davis that traces the history and development of the concept of computation and the universal Turing machine.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b334490bf08190aa119e72d12f5e4b |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334d1e3348190b231a33058ee08a5 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b33901299481908615762989e45e7c |
completed | March 12, 2026, 10:06 p.m. |
Created at: March 8, 2026, 3:13 p.m.