Triple

T18038918
Position Surface form Disambiguated ID Type / Status
Subject Belén Atienza E431587 entity
Predicate employer P7 FINISHED
Object Apaches Entertainment 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: Apaches Entertainment | Statement: [Belén Atienza, employer, Apaches Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apaches Entertainment
Context triple: [Belén Atienza, employer, Apaches Entertainment]
  • A. Apaches Entertainment chosen
    Apaches Entertainment is a Spanish film production company known for backing critically acclaimed and commercially successful movies.
  • B. Fort Apache Studios
    Fort Apache Studios was a renowned Boston-area recording studio closely associated with the rise of alternative and indie rock in the 1980s and 1990s.
  • C. Parkfield Entertainment
    Parkfield Entertainment is a British film and television production company known for producing crime and gangster-related content, including works about the notorious Kray twins.
  • D. Ardent Productions
    Ardent Productions is a British television and film production company founded and run by Prince Edward, Earl of Wessex.
  • E. Parkwood Entertainment
    Parkwood Entertainment is an American entertainment and management company founded by Beyoncé that produces music, films, and other creative projects.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3cbe8c8190ba216eeebfc3cbec completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.