Triple

T6242923
Position Surface form Disambiguated ID Type / Status
Subject X-Men: Apocalypse E139647 entity
Predicate productionCompany P490 FINISHED
Object TSG Entertainment E195698 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: TSG Entertainment | Statement: [X-Men: Apocalypse, productionCompany, TSG Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSG Entertainment
Context triple: [X-Men: Apocalypse, productionCompany, TSG Entertainment]
  • A. TSG Entertainment chosen
    TSG Entertainment is a film financing and production company known for backing major Hollywood studio releases, including numerous critically acclaimed and commercially successful films.
  • B. J&M Entertainment
    J&M Entertainment is a film production company best known for producing the 1993 drama "What's Eating Gilbert Grape."
  • C. CJ Entertainment
    CJ Entertainment is a major South Korean film production and distribution company known for backing internationally acclaimed movies such as "Parasite."
  • D. Chameleon Entertainment
    Chameleon Entertainment is a music record label known for producing and distributing recordings for various artists across genres.
  • E. Everest Entertainment
    Everest Entertainment is a prominent Indian film production and distribution company best known for producing successful and acclaimed Marathi-language movies.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631933488190838b424ec0fc2155 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e0d62208190928bab473ca64417 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.