Triple
T7496665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Pember Darwin |
E177147
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pember
Pember is a given name associated with George Pember Darwin, a member of the prominent Darwin family.
|
E668588
|
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: Pember | Statement: [George Pember Darwin, givenName, Pember]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pember Context triple: [George Pember Darwin, givenName, Pember]
-
A.
Plered
Plered was a historical Javanese city that served as a royal center of power during the era of the Mataram Sultanate in central Java.
-
B.
Poronin
Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
-
C.
Petawawa
Petawawa is a town in eastern Ontario, Canada, known for its large Canadian Forces base and proximity to the Ottawa River and Algonquin Provincial Park.
-
D.
Profian
Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
-
E.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
- 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: Pember Triple: [George Pember Darwin, givenName, Pember]
Generated description
Pember is a given name associated with George Pember Darwin, a member of the prominent Darwin family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pember Target entity description: Pember is a given name associated with George Pember Darwin, a member of the prominent Darwin family.
-
A.
Plered
Plered was a historical Javanese city that served as a royal center of power during the era of the Mataram Sultanate in central Java.
-
B.
Poronin
Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
-
C.
Petawawa
Petawawa is a town in eastern Ontario, Canada, known for its large Canadian Forces base and proximity to the Ottawa River and Algonquin Provincial Park.
-
D.
Profian
Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
-
E.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8686cc8190bb1f7b09cdbebcf7 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e31d54c8190aed9279181f1db2b |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83ef9ce408190907a62c9d0a6dc16 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:44 p.m.