Triple
T30780834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Connolly |
E783806
|
entity |
| Predicate | positionPlayedOnTeamOrRole |
P39782
|
FINISHED |
| Object | umpire |
—
|
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: umpire | Statement: [Tom Connolly, positionPlayedOnTeamOrRole, umpire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionPlayedOnTeamOrRole Context triple: [Tom Connolly, positionPlayedOnTeamOrRole, umpire]
-
A.
positionPlayedForTeam
Indicates the specific playing position or role an individual held while participating on a particular team.
-
B.
coachPositionPlayed
Indicates the role or position a coach played (typically as a player) in the sport they are associated with.
-
C.
associatedPlayerRole
chosen
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
D.
lineupRole
Indicates the specific role or position an entity holds within a lineup or ordered group.
-
E.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: April 29, 2026, 8:41 p.m.