Triple

T13127492
Position Surface form Disambiguated ID Type / Status
Subject Gérard Brach E311880 entity
Predicate notableWork P4 FINISHED
Object Tess (1979 film) E803983 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: Tess (1979 film) | Statement: [Gérard Brach, notableWork, Tess (1979 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tess (1979 film)
Context triple: [Gérard Brach, notableWork, Tess (1979 film)]
  • A. Tess (1979 film) chosen
    Tess (1979 film) is a British-French period drama directed by Roman Polanski, adapted from Thomas Hardy’s novel "Tess of the d'Urbervilles," known for its lush cinematography and tragic portrayal of its heroine.
  • B. Tess
    Tess is a central angelic character from the television series "Touched by an Angel," known for her wise, no-nonsense guidance to both humans and fellow angels.
  • C. Tess
    Tess is a 1979 period drama film directed by Roman Polanski, adapted from Thomas Hardy’s novel "Tess of the d'Urbervilles."
  • D. Tess
    Tess is a central character in the musical film "Burlesque," serving as the tough but caring owner and manager of the struggling burlesque club.
  • E. Tess
    Tess is a character in the action film "Fast X," part of the long-running Fast & Furious franchise.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28e922881909584296adc95d9b4 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.