Triple
T26652786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marca |
E669109
|
entity |
| Predicate | DiStéfanoTrophyFor |
P161090
|
FINISHED |
| Object | best player in La Liga |
—
|
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: best player in La Liga | Statement: [Marca, DiStéfanoTrophyFor, best player in La Liga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DiStéfanoTrophyFor Context triple: [Marca, DiStéfanoTrophyFor, best player in La Liga]
-
A.
MauriceRichardTrophyWinner
Indicates that an entity has won the Maurice Richard Trophy, awarded to the top goal scorer in an NHL regular season.
-
B.
VezinaTrophyWinner
Indicates that the subject is the player who won the NHL’s Vezina Trophy for best goaltender in a given season.
-
C.
ConnSmytheTrophy
Indicates that an entity has been awarded the Conn Smythe Trophy, recognizing them as the most valuable player during the National Hockey League’s Stanley Cup playoffs.
-
D.
presidentsTrophy
Indicates that the subject has been awarded the Presidents' Trophy, recognizing the best regular-season performance in a given league or competition.
-
E.
BillMastertonTrophyWinner
Indicates that the subject is the winner or recipient of the Bill Masterton Memorial Trophy.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6167ccb308190a3183b2145bf4ce8 |
completed | May 2, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:33 a.m.