Triple
T11724922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilar Roldán |
E278738
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pilar Roldán |
E278738
|
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: Pilar Roldán | Statement: [Pilar Roldán, name, Pilar Roldán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilar Roldán Context triple: [Pilar Roldán, name, Pilar Roldán]
-
A.
Pilar Roldán
chosen
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.
-
B.
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.
-
C.
Pilar Juncosa
Pilar Juncosa was the wife of Catalan surrealist painter Joan Miró and a key supporter and manager of his artistic legacy.
-
D.
Pilar Arcos
Pilar Arcos was a Spanish-born singer and actress active in early 20th-century American cinema and radio, known for her roles in silent films and Spanish-language productions.
-
E.
Pilar Belzunce
Pilar Belzunce was the wife of renowned Spanish Basque sculptor Eduardo Chillida and a central figure in his personal life and support system.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d603cc8190b2e68d0bdd793362 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f63477e08190957dd1ef709fe93b |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:41 p.m.