Triple

T10470147
Position Surface form Disambiguated ID Type / Status
Subject Jamón Jamón E246902 entity
Predicate screenwriter P2831 FINISHED
Object Bigas Luna E864614 NE FINISHED

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: Bigas Luna | Statement: [Jamón Jamón, screenwriter, Bigas Luna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bigas Luna
Context triple: [Jamón Jamón, screenwriter, Bigas Luna]
  • A. Bigas Luna chosen
    Bigas Luna was a Spanish film director known for his sensual, visually striking films that often explored themes of desire, identity, and Spanish cultural stereotypes, including the internationally acclaimed "Jamón Jamón."
  • B. El Glorioso
    El Glorioso is the popular nickname of Spanish football club Real Betis Balompié, reflecting its proud history and passionate fanbase.
  • C. Milagro
    Milagro is a city in Ecuador known as an important agricultural and commercial center, particularly for sugarcane and rice production.
  • D. Camoteros
    Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
  • E. Rudo y Cursi
    Rudo y Cursi is a 2008 Mexican comedy-drama film about two provincial half-brothers whose rivalry and dreams of soccer stardom lead them into the excesses and pitfalls of fame.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc68b49481909715c36a4c0e7c4f completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:20 p.m.