Triple
T14031763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kylian Mbappé |
E337606
|
entity |
| Predicate | debutForClub |
P101684
|
FINISHED |
| Object | AS Monaco first team |
—
|
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: AS Monaco first team | Statement: [Kylian Mbappé, debutForClub, AS Monaco first team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutForClub Context triple: [Kylian Mbappé, debutForClub, AS Monaco first team]
-
A.
debutedForClub
chosen
Indicates that an entity made its first official appearance or start as a player for a particular sports club.
-
B.
leagueDebutClub
Indicates the club for which an individual made their first appearance in a particular league.
-
C.
debutInLeague
Indicates the league in which an entity (typically a player or team) made its first official appearance.
-
D.
clubDebutSeason
Indicates the season in which an entity (typically a player) first appeared in competitive action for a particular club.
-
E.
PremierLeagueDebutClub
Indicates the club for which a player made their first appearance in the Premier League.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.