Triple

T7439719
Position Surface form Disambiguated ID Type / Status
Subject Louis J. Gasnier E171713 entity
Predicate employer P7 FINISHED
Object Pathé Frères E114849 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: Pathé Frères | Statement: [Louis J. Gasnier, employer, Pathé Frères]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathé Frères
Context triple: [Louis J. Gasnier, employer, Pathé Frères]
  • A. Pathé chosen
    Pathé is a historic French film production and distribution company that also operated as a major record label in the early and mid-20th century.
  • B. Gaumont
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • C. Gaumont-British Picture Corporation
    Gaumont-British Picture Corporation was a major British film production and distribution company active in the early 20th century, known for producing influential films including several early works by Alfred Hitchcock.
  • D. CinéArts
    CinéArts is a Cinemark-owned brand of upscale movie theaters that focuses on presenting independent, foreign, and art-house films in a premium cinema environment.
  • E. Gaumont cinemas
    Gaumont cinemas is a historic French cinema chain known for operating movie theaters across France and being one of the oldest names in the film exhibition industry.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34c28648190a426b5d7623b41e8 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c54c5ec8190bc2adf5a19fdea1c completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:13 p.m.