Triple

T11634389
Position Surface form Disambiguated ID Type / Status
Subject GMA Pinoy TV E276478 entity
Predicate operator P179 FINISHED
Object GMA International E56238 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: GMA International | Statement: [GMA Pinoy TV, operator, GMA International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMA International
Context triple: [GMA Pinoy TV, operator, GMA International]
  • A. GMA Network chosen
    GMA Network is a major Philippine commercial television and radio broadcasting company known for its nationwide reach and popular entertainment and news programs.
  • B. ABS-CBN Corporation
    ABS-CBN Corporation is a major Philippine media and entertainment conglomerate known for its television, radio, film, and digital content.
  • C. ABS-CBN Global
    ABS-CBN Global is the international arm of ABS-CBN Corporation that distributes and markets the company’s content and services to audiences worldwide, particularly the Filipino diaspora.
  • D. GMA Life TV
    GMA Life TV is a Filipino pay television channel owned by GMA Network that features lifestyle, travel, food, and entertainment programming aimed primarily at overseas Filipino audiences.
  • E. GMA Films
    GMA Films is a Philippine film production and distribution company known for creating movies associated with the GMA Network’s television brands and stars.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25c0b00819095898d2b2445ecfb completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d2da6b48190bdd974fa9520bc87 completed May 3, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:39 p.m.