Triple

T23468220
Position Surface form Disambiguated ID Type / Status
Subject Eat Pray Love E569152 entity
Predicate starring P1507 FINISHED
Object Javier Bardem 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: Javier Bardem | Statement: [Eat Pray Love, starring, Javier Bardem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javier Bardem
Context triple: [Eat Pray Love, starring, Javier Bardem]
  • A. Javier Bardem chosen
    Javier Bardem is an acclaimed Spanish actor known for his intense, versatile performances in films such as "No Country for Old Men," "Biutiful," and "Skyfall."
  • B. Rafael Bardem
    Rafael Bardem was a Spanish film and stage actor active in the mid-20th century and a member of the prominent Bardem acting family.
  • C. Juan Antonio Bardem
    Juan Antonio Bardem was a prominent Spanish film director and screenwriter associated with the mid-20th-century European art cinema movement and known for his socially critical works under Francoist Spain.
  • D. Carlos Bardem
    Carlos Bardem is a Spanish actor and writer known for his character roles in film and television and for being part of the prominent Bardem family in Spanish cinema.
  • E. Bardem
    Bardem is a prominent Spanish family name best known internationally through actors like Javier Bardem and his relatives in the Spanish film industry.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6fd280c81908aae05f0851466eb completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.