Triple
T3764661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psalm West |
E82640
|
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: [Psalm West, familyName, West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Context triple: [Psalm West, familyName, West]
-
A.
West
chosen
West is the surname of Kanye West, the influential American rapper, producer, and fashion designer.
-
B.
West
West is a prominent American legal publishing company best known for producing case law reporters, legal research tools, and the Westlaw online database.
-
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.
Western
Western is a film genre typically set in the American frontier, featuring cowboys, outlaws, lawmen, and themes of rugged individualism, justice, and survival in a harsh, lawless landscape.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfd4be481908242c460a3f00c56 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5221ab08190a3599afbbd5dbc6e |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.