Triple
T218250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glazer family |
E4155
|
entity |
| Predicate | acquisitionOfTampaBayBuccaneers |
P2617
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Glazer family, acquisitionOfTampaBayBuccaneers, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionOfTampaBayBuccaneers Context triple: [Glazer family, acquisitionOfTampaBayBuccaneers, 1995]
-
A.
acquiredSportsTeam
chosen
Indicates that one entity has purchased and taken ownership of a sports team from another party.
-
B.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
C.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
-
D.
EaglesQuarterback
Indicates that the subject is a quarterback who plays for the Philadelphia Eagles football team.
-
E.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c5199d8819096736c11077adec3 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5357bc8190b29a48e3053fb76d |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.