Triple

T12111981
Position Surface form Disambiguated ID Type / Status
Subject One Sports E288453 entity
Predicate formerName P65 FINISHED
Object AksyonTV E56496 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: AksyonTV | Statement: [One Sports, formerName, AksyonTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AksyonTV
Context triple: [One Sports, formerName, AksyonTV]
  • A. Kapamilya Channel
    Kapamilya Channel is a Philippine pay television network that serves as a primary platform for ABS-CBN’s entertainment, news, and public affairs programming.
  • B. TV5 Network chosen
    TV5 Network is a major Philippine television and media company known for its free-to-air channel TV5 and various entertainment, news, and sports programming.
  • C. GMA News TV
    GMA News TV is a Philippine free-to-air television network known for its news, public affairs, and informational programming.
  • D. Estrella TV
    Estrella TV is a Spanish-language American broadcast television network known for its variety of entertainment programming targeting Hispanic audiences in the United States.
  • E. 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.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156814148190b47d63a89fcab17c completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67d58d08190be45fb49f0084b49 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.