Triple
T2496909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Charlton |
E52171
|
entity |
| Predicate | numberOfAppearancesForClub |
P13108
|
FINISHED |
| Object | 773 |
—
|
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: 773 | Statement: [Jack Charlton, numberOfAppearancesForClub, 773]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAppearancesForClub Context triple: [Jack Charlton, numberOfAppearancesForClub, 773]
-
A.
clubAppearances
chosen
Indicates the number of official matches a player has played for a particular club.
-
B.
teamWithMostAppearances
Indicates the team that has participated the greatest number of times in a given context or competition.
-
C.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
D.
associatedWithFootballClub
Indicates that there is a relationship of affiliation or connection between an entity and a football club.
-
E.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1abd3688190b5874249e1e333bc |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.