Triple

T13409615
Position Surface form Disambiguated ID Type / Status
Subject Carlo Ponti E320052 entity
Predicate employer P7 FINISHED
Object Lux Film E606447 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: Lux Film | Statement: [Carlo Ponti, employer, Lux Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lux Film
Context triple: [Carlo Ponti, employer, Lux Film]
  • A. Lux Film chosen
    Lux Film was an Italian film production company active mainly in the mid-20th century, known for producing a range of notable Italian and European films.
  • B. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • C. Apache Films
    Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
  • D. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • E. Linson Films
    Linson Films is a film production company founded by producer Art Linson, known for backing notable movies such as "Fight Club."
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4d2c5481908facfaaa1501e344 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ccff08190aa4037aa5a48f7d0 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.