Triple
T6645696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 NFC Championship Game |
E150693
|
entity |
| Predicate | announcer |
P7529
|
FINISHED |
| Object | Tom Brookshier |
E351883
|
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: Tom Brookshier | Statement: [1980 NFC Championship Game, announcer, Tom Brookshier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Brookshier Context triple: [1980 NFC Championship Game, announcer, Tom Brookshier]
-
A.
Tom Brookshier
chosen
Tom Brookshier was an American football cornerback for the Philadelphia Eagles who became a prominent NFL broadcaster for CBS.
-
B.
Mark Breland
Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
-
C.
Jonathan Owens
Jonathan Owens is an American professional football safety in the NFL who gained additional public attention through his marriage to gymnast Simone Biles.
-
D.
Allen George
Allen George is a writer best known for his work on the film "Fade."
-
E.
Jamal Manning
Jamal Manning is a fictional Chicago crime boss and aspiring politician who serves as one of the primary antagonists in the heist thriller film "Widows" (2018).
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01bb290819089c4ff2bd2b5e09b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef48b488190ac08dc37d4a5d514 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.