Triple
T22672835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itziar |
E560264
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Itziar 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: Itziar Ituño | Statement: [Itziar, hasNotableBearer, Itziar Ituño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itziar Ituño Context triple: [Itziar, hasNotableBearer, Itziar Ituño]
-
A.
Itziar Ituño
chosen
Itziar Ituño is a Spanish actress best known for playing police inspector Raquel Murillo (Lisbon) in the hit television series "Money Heist."
-
B.
Bárbara Goenaga
Bárbara Goenaga is a Spanish actress known for her work in film and television, particularly within Basque and Spanish-language cinema.
-
C.
Itziar Castro
Itziar Castro is a Spanish actress known for her prominent roles in film and television, particularly in gritty drama and thriller series.
-
D.
Olatz López Garmendia
Olatz López Garmendia is a Spanish-born actress and model known for her roles in films such as "The Sea Inside" and "Before Night Falls."
-
E.
Inma Cuesta
Inma Cuesta is a Spanish actress known for her work in film, television, and theater, often acclaimed for her dramatic roles in contemporary Spanish cinema.
- 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.