Triple
T35359321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Racing |
E1021427
|
entity |
| Predicate | coOwnerBackground |
P183056
|
FINISHED |
| Object | Roger Staubach was a former Dallas Cowboys quarterback |
—
|
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: Roger Staubach was a former Dallas Cowboys quarterback | Statement: [Hall of Fame Racing, coOwnerBackground, Roger Staubach was a former Dallas Cowboys quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coOwnerBackground Context triple: [Hall of Fame Racing, coOwnerBackground, Roger Staubach was a former Dallas Cowboys quarterback]
-
A.
hasCoOwner
Indicates that an entity shares ownership of something with one or more other entities.
-
B.
canHaveCoOwner
Indicates that an entity is allowed to share ownership with one or more additional owners.
-
C.
hasOwnerShare
Indicates that an entity holds a specified ownership stake or share in another entity or asset.
-
D.
partOwner
Indicates that one entity holds a partial or shared ownership stake in another entity.
-
E.
originalCoOwnerClub
Indicates that a club was one of the original co-owning organizations of an entity (such as a player, asset, or contract).
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.