Triple
T23645732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilio Sánchez Vicario |
E584026
|
entity |
| Predicate | notablePartnerInDoubles |
P44416
|
FINISHED |
| Object | Sergio Casal |
—
|
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: Sergio Casal | Statement: [Emilio Sánchez Vicario, notablePartnerInDoubles, Sergio Casal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePartnerInDoubles Context triple: [Emilio Sánchez Vicario, notablePartnerInDoubles, Sergio Casal]
-
A.
hasDoublesPartner
chosen
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
-
B.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
C.
hasNotablePerformerDuo
Indicates that the subject has a notable performing duo associated with it, such as a well-known pair of artists or entertainers who perform together.
-
D.
notableCouple
Indicates that two entities are widely recognized or documented as a couple in a notable or significant relationship.
-
E.
wtaHighestDoublesRanking
Indicates the highest doubles ranking a player has achieved in the Women's Tennis Association (WTA) rankings.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b28571bc8190b3f7275068d19320 |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:48 p.m.