Triple
T20053699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mónica Gaztambide |
E499269
|
entity |
| Predicate | formerPartner |
P8718
|
FINISHED |
| Object | Arturo Román |
—
|
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: Arturo Román | Statement: [Mónica Gaztambide, formerPartner, Arturo Román]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arturo Román Context triple: [Mónica Gaztambide, formerPartner, Arturo Román]
-
A.
Arturo Román
chosen
Arturo Román is a fictional executive and recurring antagonist from the Spanish television series "Money Heist" (La Casa de Papel), known for his cowardly and self-serving behavior during the Royal Mint heist.
-
B.
Julio Fernández
Julio Fernández is a film producer best known for his work on the psychological thriller "The Machinist."
-
C.
Alfredo Rojo
Alfredo Rojo is an individual notable enough to be recognized as a prominent bearer of the surname Rojo.
-
D.
Óscar Prieto
Óscar Prieto is a personal name shared by several individuals, most commonly found in Spanish-speaking countries.
-
E.
Eliseo González
Eliseo González is a child of the acclaimed Mexican filmmaker Alejandro G. Iñárritu.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66331c7488190840d43792ff09977 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.