Triple
T31701686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Dwyer |
E809071
|
entity |
| Predicate | sportTeamOwnership |
P17259
|
FINISHED |
| Object | Brooklyn Dodgers (NFL) |
—
|
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: Brooklyn Dodgers (NFL) | Statement: [Bill Dwyer, sportTeamOwnership, Brooklyn Dodgers (NFL)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportTeamOwnership Context triple: [Bill Dwyer, sportTeamOwnership, Brooklyn Dodgers (NFL)]
-
A.
sportsTeamOwned
chosen
Indicates that one entity is the owner (or part-owner) of a sports team entity.
-
B.
acquiredSportsTeam
Indicates that one entity has purchased and taken ownership of a sports team from another party.
-
C.
teamOwnershipModel
Indicates the type or structure of ownership relationship that exists between a team and its owning entity (such as an individual, group, or organization).
-
D.
sportOwned
Indicates that one entity possesses ownership or control over a particular sport.
-
E.
sportsOwnershipStart
Indicates the point in time when an entity begins owning or taking formal ownership of a sports-related asset, such as a team or franchise.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 30, 2026, 11:12 p.m.