Triple
T5645917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Arians |
E124383
|
entity |
| Predicate | subsequentPosition |
P65396
|
FINISHED |
| Object | senior football consultant for 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: senior football consultant for Tampa Bay Buccaneers | Statement: [Bruce Arians, subsequentPosition, senior football consultant for Tampa Bay Buccaneers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentPosition Context triple: [Bruce Arians, subsequentPosition, senior football consultant for Tampa Bay Buccaneers]
-
A.
namedAfterPosition
Indicates that an entity is named after a specific position, role, or rank associated with it.
-
B.
subsequentOrder
Indicates that one order occurs after or follows another order in sequence.
-
C.
locatedAfter
Indicates that one entity is positioned later than another along a defined sequence, order, or spatial/temporal axis.
-
D.
subsequentIncrease
Indicates that one quantity or value increases after a prior event, state, or change has occurred.
-
E.
subsequentEntity
Indicates that one entity occurs or appears after another entity in a sequence or ordered arrangement.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022aa650c819088d9046b82fab631 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0727bc8190b16e9a669c04b4dd |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:41 p.m.