Triple

T11634405
Position Surface form Disambiguated ID Type / Status
Subject GMA Pinoy TV E276478 entity
Predicate programmingSource P40940 FINISHED
Object GMA News TV E274627 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 News TV | Statement: [GMA Pinoy TV, programmingSource, GMA News TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMA News TV
Context triple: [GMA Pinoy TV, programmingSource, GMA News TV]
  • A. GMA News TV chosen
    GMA News TV is a Philippine free-to-air television network known for its news, public affairs, and informational programming.
  • B. GMA Network
    GMA Network is a major Philippine commercial television and radio broadcasting company known for its nationwide reach and popular entertainment and news programs.
  • C. ABS-CBN News Channel
    ABS-CBN News Channel is a Philippine 24-hour cable news and current affairs television channel known for its comprehensive national and international news coverage.
  • D. GMA Pinoy TV
    GMA Pinoy TV is an international Filipino television channel that broadcasts GMA Network’s programs to audiences outside the Philippines.
  • E. GMA News and Public Affairs
    GMA News and Public Affairs is the news and public affairs division of the Philippine television network GMA, known for producing national newscasts, documentaries, and public service programs.
  • 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_69f13010e394819099b648db07f1193c completed April 28, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:39 p.m.