Triple
T28031661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Sharks |
E708285
|
entity |
| Predicate | linebackerInFilm |
P36658
|
FINISHED |
| Object | Luther "Shark" Lavay |
—
|
NE NERFINISHED |
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: Luther "Shark" Lavay | Statement: [Miami Sharks, linebackerInFilm, Luther "Shark" Lavay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linebackerInFilm Context triple: [Miami Sharks, linebackerInFilm, Luther "Shark" Lavay]
-
A.
linebackersCoach
Indicates that one entity serves as the linebackers coach (position coach responsible for linebackers) for another entity, typically a team or organization.
-
B.
notableLinebacker
Indicates that the subject is a linebacker who is particularly prominent, distinguished, or well-recognized in that role.
-
C.
middleLinebacker
chosen
Indicates that one entity serves in the role of middle linebacker in relation to a football team, formation, or defensive alignment.
-
D.
lineupRole
Indicates the specific role or position an entity holds within a lineup or ordered group.
-
E.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers 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_69ef9b6bdd9c8190bb3a574a03774ad1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63c733844819085a729181009c2b6 |
completed | May 2, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:17 p.m.