Triple
T4628037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Bowles |
E101146
|
entity |
| Predicate | previousPositionWithTeam |
P57526
|
FINISHED |
| Object | defensive coordinator (Tampa Bay Buccaneers) |
—
|
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 coordinator (Tampa Bay Buccaneers) | Statement: [Todd Bowles, previousPositionWithTeam, defensive coordinator (Tampa Bay Buccaneers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousPositionWithTeam Context triple: [Todd Bowles, previousPositionWithTeam, defensive coordinator (Tampa Bay Buccaneers)]
-
A.
previousHomeTeam
Indicates that the subject entity was the home team in an immediately preceding or earlier game or event involving the object entity.
-
B.
hasFormerTeam
Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
-
C.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
-
D.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
E.
positionInLeagueSystem
Indicates the rank or tier an entity holds within an organized league or competitive system.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a2e9780819081add547c760abc9 |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:13 p.m.