Triple
T13425185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthropic |
E313461
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Dario Amodei |
E99318
|
NE FINISHED |
How this triple was built (2 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: Dario Amodei | Statement: [Anthropic, foundedBy, Dario Amodei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dario Amodei Context triple: [Anthropic, foundedBy, Dario Amodei]
-
A.
Dario Amodei
chosen
Dario Amodei is an AI researcher and entrepreneur, co-founder and CEO of Anthropic and former OpenAI research leader known for his work on large language models and AI safety.
-
B.
Mark Dredze
Mark Dredze is a computer scientist and researcher known for his work in natural language processing, machine learning, and applications of AI to public health and social media analysis.
-
C.
John Giannandrea
John Giannandrea is a prominent computer scientist and technology executive known for leading artificial intelligence and machine learning efforts at major tech companies, including Apple.
-
D.
Pieter Abbeel
Pieter Abbeel is a Belgian-American computer scientist and professor at UC Berkeley known for his influential work in robotics and deep reinforcement learning.
-
E.
Jonathon Shlens
Jonathon Shlens is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work at Google.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed066408190a416880affd8416e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308673488190a64f4b205899605b |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:40 p.m.