Triple
T13437822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelmina Cooper |
E320275
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Bruce Cooper |
E320276
|
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: Bruce Cooper | Statement: [Wilhelmina Cooper, spouse, Bruce Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Cooper Context triple: [Wilhelmina Cooper, spouse, Bruce Cooper]
-
A.
Bruce Cooper
chosen
Bruce Cooper is a fashion industry professional best known as the founder of the international modeling agency Wilhelmina Models.
-
B.
Bob Cooper
Bob Cooper is a film producer best known for his work on the romantic comedy "Last Holiday" and other mainstream Hollywood projects.
-
C.
Blain Cooper
Blain Cooper is a tough, heavy-weapons specialist and member of the elite military rescue team in the 1987 science fiction action film "Predator."
-
D.
Jacques Cooper
Jacques Cooper is a French industrial designer best known for creating the iconic TGV high-speed train.
-
E.
Ian Cooper
Ian Cooper is a film producer known for his work with Jordan Peele’s Monkeypaw Productions on projects such as "Us" and "Nope."
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399215bc8190b846906b0f081e7f |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.