Triple
T35725617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl "Dutch" Clark |
E1032602
|
entity |
| Predicate | ledLeagueInScoring |
P2218
|
FINISHED |
| Object | National Football League |
—
|
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: National Football League | Statement: [Earl "Dutch" Clark, ledLeagueInScoring, National Football League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledLeagueInScoring Context triple: [Earl "Dutch" Clark, ledLeagueInScoring, National Football League]
-
A.
ledLeagueIn
chosen
Indicates that an entity achieved the highest performance or total in a specified statistical category within a particular league for a given season or time period.
-
B.
ledLeague
Indicates that an entity finished a season or competition as the statistical leader of a specified category within a particular league.
-
C.
ledCupPoints
Indicates that one entity was the top scorer in terms of points in a specific cup competition.
-
D.
leagueContext
Indicates the broader league or competition setting within which the relationship or action takes place.
-
E.
ledTeamIn
Indicates that one entity had primary leadership responsibility over a team in which the other entity participated or was involved.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.