Triple
T18368388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Billick |
E440111
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Billick |
—
|
NE NERFINISHED |
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: Billick | Statement: [Brian Billick, familyName, Billick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billick Context triple: [Brian Billick, familyName, Billick]
-
A.
Billick
chosen
Billick is a surname most notably associated with Brian Billick, the former NFL head coach who led the Baltimore Ravens to a Super Bowl XXXV victory.
-
B.
Dilfer
Dilfer is the surname of former NFL quarterback and Super Bowl champion Trent Dilfer.
-
C.
Bettis
Bettis is a surname most prominently associated with former NFL running back and Pro Football Hall of Famer Jerome Bettis.
-
D.
Cowherd
Cowherd is a surname most prominently associated with American sports media personality and radio host Colin Cowherd.
-
E.
Evan McCauley
Evan McCauley is the protagonist of the science fiction film "Infinite," a man who discovers he has memories and skills from multiple past lives.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e51750d3dc8190b153046c1171ee2b |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:38 a.m.