Triple
T10380872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepita Embil |
E244636
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pepita Embil |
E244636
|
NE 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: Pepita Embil | Statement: [Pepita Embil, name, Pepita Embil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepita Embil Context triple: [Pepita Embil, name, Pepita Embil]
-
A.
Pepita Embil
chosen
Pepita Embil was a renowned Spanish zarzuela and opera singer of the mid-20th century and the mother of tenor Plácido Domingo.
-
B.
Carmen Rabassa
Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
-
C.
Carmen Laffón
Carmen Laffón was a renowned Spanish painter and sculptor known for her poetic, introspective landscapes and intimate figurative works.
-
D.
Pilar Roldán
Pilar Roldán is a Mexican fencer best known for taking the Olympic Oath for athletes and winning a silver medal in women's foil at the 1968 Mexico City Games.
-
E.
Pilar García
Pilar García was a high-ranking Cuban military and police officer who became notorious for his role in repressing opposition under Fulgencio Batista’s dictatorship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9921fa48190a874aa9a9e385b97 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e6f30c88190992242b6e0c43581 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:03 p.m.