Triple
T17289572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Dupont |
E419747
|
entity |
| Predicate | hasPlayedWithClub |
P126828
|
FINISHED |
| Object | Castres Olympique youth teams |
—
|
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: Castres Olympique youth teams | Statement: [Antoine Dupont, hasPlayedWithClub, Castres Olympique youth teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedWithClub Context triple: [Antoine Dupont, hasPlayedWithClub, Castres Olympique youth teams]
-
A.
hasManagedClub
Indicates that a person has held a managerial role for a particular club.
-
B.
hasSeniorClubExperience
Indicates that an individual has played for or been a member of a senior-level (adult/professional) sports club.
-
C.
associatedClubBeganPlay
Indicates that the related club began its competitive play or official participation at the specified time.
-
D.
hadInternationalClubCompetition
Indicates that an entity has participated in or been involved with an international club-level competition.
-
E.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43782b7ac8190b702567e9ccf9a35 |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.