Triple
T21531997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ademir de Menezes |
E531251
|
entity |
| Predicate | playedForClubBetween |
P2170
|
FINISHED |
| Object | Sport Club do Recife – early 1940s |
—
|
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: Sport Club do Recife – early 1940s | Statement: [Ademir de Menezes, playedForClubBetween, Sport Club do Recife – early 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForClubBetween Context triple: [Ademir de Menezes, playedForClubBetween, Sport Club do Recife – early 1940s]
-
A.
playedForNationalTeamBetween
Indicates that an entity was a member of and played for a specified national team during a particular time period.
-
B.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
C.
associatedClubBeganPlay
Indicates that the related club began its competitive play or official participation at the specified time.
-
D.
playsForClub
Indicates that a person is an active member of and participates in a particular sports club or team.
-
E.
playedFor
chosen
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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.