Triple

T19741456
Position Surface form Disambiguated ID Type / Status
Subject Helen Tasker E474130 entity
Predicate basedOnCharacterFrom P12208 FINISHED
Object La Totale! NE NERFINISHED

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: La Totale! | Statement: [Helen Tasker, basedOnCharacterFrom, La Totale!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Totale!
Context triple: [Helen Tasker, basedOnCharacterFrom, La Totale!]
  • A. La Totale! chosen
    La Totale! is a 1991 French comedy film about a seemingly ordinary man leading a secret double life as a spy, which later inspired the Hollywood remake True Lies.
  • B. A Tout le Monde
    "A Tout le Monde" is a melodic, introspective song by American thrash metal band Megadeth, known for its French-language chorus and themes of farewell and mortality.
  • C. À tout prendre
    À tout prendre is a landmark 1963 Canadian autobiographical drama film by Claude Jutra that explores love, identity, and personal crisis in Montreal.
  • D. La Boum
    La Boum is a popular 1980 French coming-of-age romantic comedy film that launched Sophie Marceau to stardom.
  • E. Juste pour rire
    Juste pour rire is a renowned international comedy festival founded in Montreal, Canada, featuring stand-up, street performances, and televised comedy events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6516159c8819090022094aa91902b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.