Triple
T5930991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Ancelotti |
E131935
|
entity |
| Predicate | UEFAChampionsLeagueTitlesAsManager |
P66781
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Carlo Ancelotti, UEFAChampionsLeagueTitlesAsManager, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UEFAChampionsLeagueTitlesAsManager Context triple: [Carlo Ancelotti, UEFAChampionsLeagueTitlesAsManager, 4]
-
A.
leagueChampionshipWonAsManager
Indicates that the person has won a league championship in the role of a manager for the specified team or organization.
-
B.
UEFAChampionsLeagueTitles
Indicates the number of UEFA Champions League titles an entity (typically a football club) has won.
-
C.
championsLeagueTitlesWithBarcelonaAsManager
Indicates the number of UEFA Champions League titles a person has won specifically while serving as the manager of FC Barcelona.
-
D.
domesticSupercupWonAsManager
Indicates that the person has won a domestic super cup competition in the role of a team manager.
-
E.
charityShieldsWonAsManager
Indicates the number of Charity Shield titles an individual has won in the role of team manager.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 4 p.m.