Triple
T533941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Beckham |
E12284
|
entity |
| Predicate | UEFAChampionsLeagueTitle |
P15091
|
FINISHED |
| Object | 1998–99 with Manchester United |
—
|
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: 1998–99 with Manchester United | Statement: [David Beckham, UEFAChampionsLeagueTitle, 1998–99 with Manchester United]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFAChampionsLeagueTitle Context triple: [David Beckham, UEFAChampionsLeagueTitle, 1998–99 with Manchester United]
-
A.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
B.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
C.
EuropeanCupTitles
chosen
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
D.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
E.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b3e49081909810fa417b31306f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.