Triple

T2405487
Position Surface form Disambiguated ID Type / Status
Subject Christian Bale E50267 entity
Predicate name P16 FINISHED
Object Christian Bale E50267 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: Christian Bale | Statement: [Christian Bale, name, Christian Bale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Bale
Context triple: [Christian Bale, name, Christian Bale]
  • A. Christian Bale chosen
    Christian Bale is an acclaimed British actor known for his intense method acting and transformative roles in films such as "American Psycho," "The Dark Knight" trilogy, and "The Fighter."
  • B. James McAvoy
    James McAvoy is a Scottish actor known for his versatile performances in films such as the X-Men series, Atonement, and Split.
  • C. Jude Law
    Jude Law is an English actor known for his versatile performances in films such as "The Talented Mr. Ripley," "Cold Mountain," and the "Sherlock Holmes" series.
  • D. Matthew Goode
    Matthew Goode is an English actor known for his roles in films such as "Match Point," "The Imitation Game," and "Stoker," as well as TV series like "Downton Abbey" and "The Good Wife."
  • E. Michael Fassbender
    Michael Fassbender is an acclaimed Irish-German actor known for his intense, versatile performances in films such as "Hunger," "Shame," "12 Years a Slave," and the "X-Men" series.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e95334819093923b0c36b968f2 completed March 9, 2026, 11:50 a.m.
Created at: March 4, 2026, 7:58 p.m.