Triple

T16098409
Position Surface form Disambiguated ID Type / Status
Subject Baywatch E390545 entity
Predicate productionCompany P490 FINISHED
Object GTG Entertainment E799668 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: GTG Entertainment | Statement: [Baywatch, productionCompany, GTG Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GTG Entertainment
Context triple: [Baywatch, productionCompany, GTG Entertainment]
  • A. GTG Entertainment chosen
    GTG Entertainment was a television production company co-founded by influential TV executive Grant Tinker after his tenure at NBC.
  • B. CJ Entertainment
    CJ Entertainment is a major South Korean film production and distribution company known for backing internationally acclaimed movies such as "Parasite."
  • C. SMUGGLER Entertainment
    SMUGGLER Entertainment is a production company known for creating high-profile commercials, music videos, and film content in collaboration with major brands and artists.
  • D. MBK Entertainment
    MBK Entertainment is a South Korean entertainment company and record label known for managing K-pop artists and producing music and media content.
  • E. GRB Entertainment
    GRB Entertainment is a television production company best known for creating and producing reality and documentary-style series for cable and broadcast networks.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9b3e708190be822f7ed588c9da completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.