Triple

T6126439
Position Surface form Disambiguated ID Type / Status
Subject Mother! E136606 entity
Predicate starring P1507 FINISHED
Object Javier Bardem E49519 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: Javier Bardem | Statement: [Mother!, starring, Javier Bardem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javier Bardem
Context triple: [Mother!, 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. 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.
  • D. Daniel Brühl
    Daniel Brühl is a German-Spanish actor known for his acclaimed performances in films such as "Good Bye, Lenin!", "Inglourious Basterds," and "Rush," as well as for his role as Helmut Zemo in the Marvel Cinematic Universe.
  • E. Gian Maria Volonté
    Gian Maria Volonté was an acclaimed Italian actor best known for his intense, politically charged performances and memorable villain roles in classic Spaghetti Westerns.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c28dbbc8190a0a0c20ec794e81a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14165f3e88190903120d4b2ff6189 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:15 p.m.