Triple
T11298970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denise Curry |
E267526
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Denise Curry |
E267526
|
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: Denise Curry | Statement: [Denise Curry, name, Denise Curry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Curry Context triple: [Denise Curry, name, Denise Curry]
-
A.
Denise Curry
chosen
Denise Curry is a former American basketball star and Olympic gold medalist widely regarded as one of UCLA’s greatest women’s players.
-
B.
Sharon Curry
Sharon Curry is the wife of Michael Bruce Curry, the Presiding Bishop of the Episcopal Church in the United States.
-
C.
Denise Bauer
Denise Bauer is a fictional attorney character from the television series "Boston Legal," portrayed by actress Julie Bowen.
-
D.
Susan Curry
Susan Curry is a notable individual who shares the surname Curry and has achieved recognition significant enough to be distinguished among others with that name.
-
E.
Tracey Needham
Tracey Needham is an American actress best known for her television roles on series such as "Life Goes On," "JAG," and "The Division."
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a3e26e88190991127a5993a32a4 |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.