Triple
T30985994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gervinho |
E789526
|
entity |
| Predicate | hasPlayedUnderCoach |
P7113
|
FINISHED |
| Object | Arsène Wenger |
—
|
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: Arsène Wenger | Statement: [Gervinho, hasPlayedUnderCoach, Arsène Wenger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedUnderCoach Context triple: [Gervinho, hasPlayedUnderCoach, Arsène Wenger]
-
A.
workedUnderHeadCoach
chosen
Indicates that one person held a role or position under the authority or supervision of another person who was serving as the head coach.
-
B.
teamServedAsCoach
Indicates that a person held the role of coach for a particular team.
-
C.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
D.
hasCoachedTeamDuringTransitionTo
Indicates that a coach has led or coached a team during its transition or move to another specified team, organization, or competitive context.
-
E.
returnedAsHeadCoach
Indicates that an individual resumed a previous role as head coach of a team or organization after a period of absence.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 29, 2026, 8:56 p.m.