Triple
T14655629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broken Embraces |
E344099
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object | Esther García |
E1162754
|
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: Esther García | Statement: [Broken Embraces, producedBy, Esther García]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esther García Context triple: [Broken Embraces, producedBy, Esther García]
-
A.
Esther García
chosen
Esther García is a prominent Spanish film producer best known for her long-standing collaboration with director Pedro Almodóvar on acclaimed films such as "Volver."
-
B.
Esther Fernández
Esther Fernández was a prominent Mexican film actress known for her work during the Golden Age of Mexican cinema.
-
C.
Esther Acebo
Esther Acebo is a Spanish actress and television presenter best known internationally for her role as Mónica Gaztambide (Stockholm) in the hit series "Money Heist."
-
D.
María Cortés
María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
-
E.
Isabel García
Isabel García is a Spanish politician known for her work in the European Parliament and her advocacy on social and labor issues.
- 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_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_69ff5f21a97c819082b59b343ef337ec |
completed | May 9, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:27 a.m.