Triple
T2286779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornel West |
E51408
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | West |
E10857
|
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: West | Statement: [Cornel West, familyName, West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Context triple: [Cornel West, familyName, West]
-
A.
West
West is a prominent American legal publishing company best known for producing case law reporters, legal research tools, and the Westlaw online database.
-
B.
West
chosen
West is the surname of Kanye West, the influential American rapper, producer, and fashion designer.
-
C.
West
West is the commonly used short form for the NBA’s Western Conference, one of the league’s two main competitive groupings.
-
D.
Western
Western is a Canadian public research university located in London, Ontario, known for its strong programs in business, health sciences, and social sciences.
-
E.
Suroeste
Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24730208190af8a5cf443d334f7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1b2a7c8190aa836f9feba2ce1a |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.