Triple
T22163678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zulema Zahir |
E547733
|
entity |
| Predicate | hasEnemy |
P4675
|
FINISHED |
| Object | Macarena Ferreiro |
—
|
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: Macarena Ferreiro | Statement: [Zulema Zahir, hasEnemy, Macarena Ferreiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macarena Ferreiro Context triple: [Zulema Zahir, hasEnemy, Macarena Ferreiro]
-
A.
Macarena Ferreiro
chosen
Macarena Ferreiro is the naive young woman whose imprisonment and transformation drive the central narrative of the Spanish prison drama series "Vis a vis" ("Locked Up").
-
B.
Macarena García
Macarena García is a Spanish actress best known for her acclaimed performance in the silent black-and-white film "Blancanieves."
-
C.
Xiana Martínez
Xiana Martínez is the daughter of Spanish football manager and former professional player Luis Enrique.
-
D.
Marta Sánchez
Marta Sánchez is a Spanish pop singer best known as the former lead vocalist of the band Olé Olé and for her successful solo career in Latin pop music.
-
E.
Marta Navarro
Marta Navarro is a personal name that may refer to multiple individuals across different fields, such as sports, arts, or public life, rather than a single widely recognized figure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2f2f90819080b5bb73a6052c24 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.