Triple

T3341215
Position Surface form Disambiguated ID Type / Status
Subject U.S. broadcast television networks E70263 entity
Predicate includeNetwork P2637 FINISHED
Object Start TV E143364 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: Start TV | Statement: [U.S. broadcast television networks, includeNetwork, Start TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Start TV
Context triple: [U.S. broadcast television networks, includeNetwork, Start TV]
  • A. Start TV chosen
    Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 2000s.
  • B. Star TV
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • C. This TV
    This TV is an American digital multicast television network known for airing a wide selection of feature films and classic television programming.
  • D. Imagine Television
    Imagine Television is the television production division of Imagine Entertainment, known for developing and producing a wide range of scripted and unscripted TV series.
  • E. ThisTV Network
    ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a92555c81909a4769b6ecea5721 completed March 12, 2026, 7:57 p.m.
Created at: March 8, 2026, 3:12 p.m.