Triple
T38237752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edouard Mendy |
E1013669
|
entity |
| Predicate | helpedNationalTeamWin |
P31082
|
FINISHED |
| Object | Africa Cup of Nations |
—
|
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: Africa Cup of Nations | Statement: [Edouard Mendy, helpedNationalTeamWin, Africa Cup of Nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedNationalTeamWin Context triple: [Edouard Mendy, helpedNationalTeamWin, Africa Cup of Nations]
-
A.
representedNationalTeamInCompetition
Indicates that an individual was a member of and competed for a specific national team in a particular competition.
-
B.
playedForNationalTeamFrom
Indicates that an entity was a member of and played for a particular national team starting from a specified date or time period.
-
C.
namedAfterNationalTeam
Indicates that one entity is named in honor of, or derived from the name of, a specific national sports team.
-
D.
supportsNationalTeam
Indicates that one entity provides backing, endorsement, or assistance to a national team.
-
E.
associatedWithNationalTeam
chosen
Indicates that an entity has a formal connection or involvement with a specific national team, such as playing for, coaching, or otherwise being officially linked to it.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:30 p.m.