Triple
T38200157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Haslett |
E1009031
|
entity |
| Predicate | roleAtNewOrleansSaints |
P190284
|
FINISHED |
| Object | head coach |
—
|
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: head coach | Statement: [Jim Haslett, roleAtNewOrleansSaints, head coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtNewOrleansSaints Context triple: [Jim Haslett, roleAtNewOrleansSaints, head coach]
-
A.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
B.
roleAtSanFrancisco49ers
Indicates that an entity holds or has held a specific role or position with the San Francisco 49ers organization.
-
C.
roleAtNewEnglandPatriots
Indicates the specific role, position, or capacity an entity holds within the New England Patriots organization.
-
D.
roleInMinnesotaVikings
Indicates that an entity holds or has held a specific role or position within the Minnesota Vikings organization.
-
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. 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:30 p.m.