Triple
T17146390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Gruden |
E416101
|
entity |
| Predicate | championshipsWonAsPlayer |
P52009
|
FINISHED |
| Object | multiple ArenaBowl championships with Tampa Bay Storm |
—
|
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 ArenaBowl championships with Tampa Bay Storm | Statement: [Jay Gruden, championshipsWonAsPlayer, multiple ArenaBowl championships with Tampa Bay Storm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipsWonAsPlayer Context triple: [Jay Gruden, championshipsWonAsPlayer, multiple ArenaBowl championships with Tampa Bay Storm]
-
A.
wonChampionshipAsPlayerWith
chosen
Indicates that one entity won a championship while playing on a team or alongside the other entity.
-
B.
conferenceChampionshipWonCount
Indicates the number of conference championships that have been won.
-
C.
hasWonMultipleChampionships
Indicates that the subject has secured championship titles on more than one separate occasion.
-
D.
StanleyCupWinsAsPlayer
Indicates the number of times an individual has won the Stanley Cup specifically in the role of a player.
-
E.
championshipsHelpedWin
Indicates that one entity contributed to another entity winning one or more championships.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2db20d48190b5d69ccf89f3bc42 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.