Triple

T22672872
Position Surface form Disambiguated ID Type / Status
Subject Loreak E560266 entity
Predicate writer P1360 FINISHED
Object Jose Mari Goenaga 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: Jose Mari Goenaga | Statement: [Loreak, writer, Jose Mari Goenaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jose Mari Goenaga
Context triple: [Loreak, writer, Jose Mari Goenaga]
  • A. Jose Mari Goenaga chosen
    Jose Mari Goenaga is a Spanish Basque filmmaker and screenwriter known for his critically acclaimed work in contemporary Basque-language cinema.
  • B. Fernando Rojo
    Fernando Rojo is a software engineer and open-source developer best known for his work in the React Native ecosystem, including libraries like Solito and contributions to cross-platform app development.
  • C. Ignacio Ferras
    Ignacio Ferras is a fictional character from Michael Connelly’s crime novel "Nine Dragons," which features detective Harry Bosch.
  • D. Enrique Rambal
    Enrique Rambal was a Spanish-born Mexican actor known for his work in mid-20th-century Mexican cinema and theater.
  • E. Ernesto Tamariz
    Ernesto Tamariz was a prominent Mexican sculptor known for his monumental public works and contributions to 20th-century Mexican commemorative art.
  • 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.