Triple
T37043714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladislav Novák |
E916849
|
entity |
| Predicate | teamCaptainInTournament |
P65503
|
FINISHED |
| Object | 1962 FIFA World Cup |
—
|
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: 1962 FIFA World Cup | Statement: [Ladislav Novák, teamCaptainInTournament, 1962 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamCaptainInTournament Context triple: [Ladislav Novák, teamCaptainInTournament, 1962 FIFA World Cup]
-
A.
teamCaptain
Indicates that one entity serves as the captain or designated leader of a particular team.
-
B.
captainedAtTournament
chosen
Indicates that an entity served as the captain of a team or side during a specific tournament.
-
C.
teamCoachedToTournament
Indicates that a coach led or trained a team that participated in a specific tournament.
-
D.
homeTeamCaptain
Indicates that one entity serves as the captain of the home team in a given game or match in relation to the other entity.
-
E.
coachOfTournament
Indicates that a person serves as the coach for a particular tournament or for a team participating in that tournament.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.