Triple
T22672846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itziar Ituño |
E560265
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ituño |
—
|
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: Ituño | Statement: [Itziar Ituño, familyName, Ituño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ituño Context triple: [Itziar Ituño, familyName, Ituño]
-
A.
Ituño
chosen
Ituño is the Basque surname of Spanish actress Itziar Ituño, best known for her role as Inspector Raquel Murillo (Lisbon) in the television series "Money Heist" (La Casa de Papel).
-
B.
Canicula
Canicula is an alternative name for Sirius, the brightest star in the night sky and a prominent part of the constellation Canis Major.
-
C.
Moyuela
Moyuela is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
-
D.
Bruma
Bruma is a suburb of Johannesburg, South Africa, known for its commercial developments and proximity to Bruma Lake.
-
E.
Caló
Caló is a mixed Iberian Romani sociolect that blends Romani vocabulary with Spanish (and sometimes Portuguese) grammar, traditionally spoken by the Romani communities of the Iberian Peninsula.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.