Triple
T17164603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Gruden |
E416574
|
entity |
| Predicate | numberOfAFLChampionshipsAsPlayer |
P126354
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Jay Gruden, numberOfAFLChampionshipsAsPlayer, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAFLChampionshipsAsPlayer Context triple: [Jay Gruden, numberOfAFLChampionshipsAsPlayer, 4]
-
A.
AFLChampionshipGameAppearances
Indicates the number of times an entity has participated in an AFL championship game.
-
B.
AFLPremiershipsAsPlayerWith
Indicates that a person has won one or more AFL premierships while playing for a specified team.
-
C.
AFLChampionshipWin
Indicates that a team has won the championship title in the Australian Football League (AFL) for a given season or event.
-
D.
AFLGamesPlayed
Indicates the number of Australian Football League (AFL) games that an entity has participated in.
-
E.
wonAFLChampionship
Indicates that the subject has won an AFL (Australian Football League) championship title.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f913c84481908bb5da8bcc6a2e62 |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:37 a.m.