Triple
T5267529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Dungy |
E118973
|
entity |
| Predicate | roleWithPittsburghSteelers |
P13665
|
FINISHED |
| Object | defensive back |
—
|
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: defensive back | Statement: [Tony Dungy, roleWithPittsburghSteelers, defensive back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithPittsburghSteelers Context triple: [Tony Dungy, roleWithPittsburghSteelers, defensive back]
-
A.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
B.
roleAtNewEnglandPatriots
Indicates the specific role, position, or capacity an entity holds within the New England Patriots organization.
-
C.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
-
D.
PittsburghPlayer
Indicates that an entity is a player who plays or played for a Pittsburgh-based sports team.
-
E.
SuperBowlChampionAsPlayerWith
Indicates that one entity was a Super Bowl champion as a player in association with the other entity (such as a team, season, or organization).
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.