Triple

T13844647
Position Surface form Disambiguated ID Type / Status
Subject Leo Encinas Cruz E332763 entity
Predicate relative P37 FINISHED
Object Carlos Bardem E252228 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: Carlos Bardem | Statement: [Leo Encinas Cruz, relative, Carlos Bardem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos Bardem
Context triple: [Leo Encinas Cruz, relative, Carlos Bardem]
  • A. Carlos Bardem chosen
    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.
  • 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. Bardem
    Bardem is a prominent Spanish family name best known internationally through actors like Javier Bardem and his relatives in the Spanish film industry.
  • E. Javier Bardem
    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."
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0ef9e7c8190b96c2b83d04708e1 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:13 p.m.