Triple
T14655731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julieta |
E344101
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Pilar Castro
Pilar Castro is a Spanish actress known for her work in film, television, and theater.
|
E1173983
|
NE FINISHED |
How this triple was built (4 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 Castro | Statement: [Julieta, castMember, Pilar Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilar Castro Context triple: [Julieta, castMember, Pilar Castro]
-
A.
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.
-
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 Belzunce
Pilar Belzunce was the wife of renowned Spanish Basque sculptor Eduardo Chillida and a central figure in his personal life and support system.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pilar Castro Triple: [Julieta, castMember, Pilar Castro]
Generated description
Pilar Castro is a Spanish actress known for her work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pilar Castro Target entity description: Pilar Castro is a Spanish actress known for her work in film, television, and theater.
-
A.
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.
-
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 Belzunce
Pilar Belzunce was the wife of renowned Spanish Basque sculptor Eduardo Chillida and a central figure in his personal life and support system.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dfbc28819090cf56f16b5e7c39 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83d929a48190aea75597b864d210 |
completed | May 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff846436e48190b711da134c9a3b81 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 1:27 a.m.