Triple
T3192950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Cowher |
E66865
|
entity |
| Predicate | divisionTitlesWonWithSteelers |
P46558
|
FINISHED |
| Object | multiple AFC Central titles |
—
|
LITERAL 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: multiple AFC Central titles | Statement: [Bill Cowher, divisionTitlesWonWithSteelers, multiple AFC Central titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionTitlesWonWithSteelers Context triple: [Bill Cowher, divisionTitlesWonWithSteelers, multiple AFC Central titles]
-
A.
SteelersBecame
Indicates that one entity transformed into, adopted the identity of, or came to be known as the Steelers.
-
B.
superBowlTitlesWith
Indicates that one entity has won a specified number of Super Bowl titles associated with another entity (such as a team or organization).
-
C.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
-
D.
SuperBowlWin
Indicates that a team has won the Super Bowl in a given season or game.
-
E.
SuperBowlChampionCount
Indicates the number of Super Bowl championships an entity (typically a team or franchise) has won.
- F. None of above. chosen
Provenance (4 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada713bf0c81908f3143f45f63a5ad |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:07 p.m.