Triple
T29372706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandler Jones |
E744894
|
entity |
| Predicate | hasWonSuperBowl |
P190346
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chandler Jones, hasWonSuperBowl, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonSuperBowl Context triple: [Chandler Jones, hasWonSuperBowl, true]
-
A.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
-
B.
wonSuperBowlAs
Indicates that one entity achieved victory in a Super Bowl in the specified role, position, or capacity associated with the other entity.
-
C.
hasWonSuperBowlViaTeam
Indicates that an individual has won a Super Bowl specifically as a member of the specified team.
-
D.
homeSuperBowlWin
Indicates that a team won the Super Bowl while playing in its home stadium or home city.
-
E.
SuperBowlWin
Indicates that a team has won the Super Bowl in a given season or game.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: April 28, 2026, 2:28 p.m.