Triple
T28442763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football League Trophy with Swansea City A.F.C. (as player) |
E715756
|
entity |
| Predicate | awardedToPlayer |
P169132
|
FINISHED |
| Object | Leon Britton |
—
|
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: Leon Britton | Statement: [Football League Trophy with Swansea City A.F.C. (as player), awardedToPlayer, Leon Britton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedToPlayer Context triple: [Football League Trophy with Swansea City A.F.C. (as player), awardedToPlayer, Leon Britton]
-
A.
isPlayerAward
Indicates that an award is designated specifically for a player, representing a recognition or honor given to an individual participant.
-
B.
positionOfAwardedPlayer
Indicates the specific playing position or role on a team held by the player who received the award.
-
C.
goalAwarded
Indicates that a specific goal or objective has been granted or conferred upon an entity as an award or achievement.
-
D.
trophyWonBy
chosen
Indicates that a particular trophy or award is obtained or earned by a specific entity (such as a person or team).
-
E.
winnerAssociated
Indicates that there is a relevant connection or affiliation between a winner and another entity in the context of a particular event or competition.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 28, 2026, 1:47 a.m.