Triple

T9342203
Position Surface form Disambiguated ID Type / Status
Subject Stilgar E224788 entity
Predicate portrayedBy 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: [Stilgar, portrayedBy, Javier Bardem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javier Bardem
Context triple: [Stilgar, portrayedBy, 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb11cd08190b159a6066dd0ebf1 completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e4043e288190b05511d537b1614d completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:40 p.m.