Triple
T6993994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy Wolfson |
E162156
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tracy Wolfson |
E162156
|
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: Tracy Wolfson | Statement: [Tracy Wolfson, name, Tracy Wolfson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Wolfson Context triple: [Tracy Wolfson, name, Tracy Wolfson]
-
A.
Tracy Wolfson
chosen
Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
-
B.
Tracy Maurer
Tracy Maurer is an author best known for her nonfiction and biographical books for children and young adults.
-
C.
Tracy Fishko
Tracy Fishko is the idealistic, aspiring writer and college freshman protagonist of the film "Mistress America," whose perspective shapes the movie’s coming-of-age story.
-
D.
Tracy Reiner
Tracy Reiner is an American actress known for her roles in films such as "A League of Their Own" and "When Harry Met Sally...."
-
E.
Tracy Benchley
Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeaa88c8190a49f8504c1793e1f |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be0bdd2881909b5bea69765d696f |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 2:32 p.m.