Triple
T438130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Esposito |
E10054
|
entity |
| Predicate | roleAtSportsTeam |
P13665
|
FINISHED |
| Object | general manager of New York Rangers |
—
|
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: general manager of New York Rangers | Statement: [Phil Esposito, roleAtSportsTeam, general manager of New York Rangers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtSportsTeam Context triple: [Phil Esposito, roleAtSportsTeam, general manager of New York Rangers]
-
A.
memberOfSportsTeamOwned
Indicates that an entity is a member of a sports team that is owned by another specified entity.
-
B.
playsForTitle
Indicates that an entity performs or competes on behalf of a team, organization, or group under a specific title or designation.
-
C.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
D.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
E.
ownsMajorFranchiseIn
Indicates that an entity has controlling or primary ownership of a major franchise operating within a specified location or jurisdiction.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef26bb78819089b3b5dac0330619 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.