Triple
T409738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Charlton |
E9462
|
entity |
| Predicate | clubAppearances |
P13108
|
FINISHED |
| Object | 758 for Manchester United |
—
|
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: 758 for Manchester United | Statement: [Bobby Charlton, clubAppearances, 758 for Manchester United]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubAppearances Context triple: [Bobby Charlton, clubAppearances, 758 for Manchester United]
-
A.
allStarAppearances
Indicates the number of times an entity has been selected to participate in an All-Star event or game.
-
B.
playoffAppearances
Indicates the number of times an entity (such as a team or player) has qualified for and participated in postseason playoff competition.
-
C.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
D.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
E.
leaguePlayedIn
Indicates that a sports team or player has participated in competitions within a particular league.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ed3032148190beb3a516e437f8f8 |
completed | Feb. 28, 2026, 1:27 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.