Triple
T35359307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame Racing |
E1021427
|
entity |
| Predicate | formerNFLPlayersInOwnership |
P109979
|
FINISHED |
| Object | Roger Staubach |
—
|
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 | Statement: [Hall of Fame Racing, formerNFLPlayersInOwnership, Roger Staubach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNFLPlayersInOwnership Context triple: [Hall of Fame Racing, formerNFLPlayersInOwnership, Roger Staubach]
-
A.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
B.
formerNFLPlayerAssociated
chosen
Indicates that a person was previously an NFL player and has or had some form of association or connection with another entity (such as a team, organization, or individual).
-
C.
playedForNFLTeam
Indicates that a person was a member of and played for a specific NFL team.
-
D.
teamWonSuperBowlUnderOwner
Indicates that a team secured a Super Bowl championship while under the ownership of a specific owner.
-
E.
formerNFLTeamHost
Indicates that a location or venue previously served as the home site for an NFL team but no longer does so.
- F. None of above.
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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00532815c881908f10d9594458b3d7 |
completed | May 10, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_6a0052b9f030819081b8105bdcaf6d8f |
completed | May 10, 2026, 9:41 a.m. |
Created at: May 3, 2026, 4:03 p.m.