Triple

T22682297
Position Surface form Disambiguated ID Type / Status
Subject Network18 Group E560511 entity
Predicate televisionNetworkBrand P131912 FINISHED
Object CNBC-TV18 NE NERFINISHED

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: CNBC-TV18 | Statement: [Network18 Group, televisionNetworkBrand, CNBC-TV18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNBC-TV18
Context triple: [Network18 Group, televisionNetworkBrand, CNBC-TV18]
  • A. CNBC TV18 chosen
    CNBC TV18 is an Indian business news television channel that provides real-time coverage of financial markets, economy, and corporate developments.
  • B. CNBC
    CNBC is an American business news television channel known for its real-time financial market coverage and economic analysis.
  • C. Bloomberg Television
    Bloomberg Television is a global 24-hour business and financial news television network owned by Bloomberg L.P., known for its real-time market coverage and analysis.
  • D. Cable News Network
    Cable News Network (CNN) is a major American cable and satellite television news channel known for pioneering 24-hour television news coverage worldwide.
  • E. NDTV
    NDTV is a prominent Indian news media company best known for its nationwide television news channels and digital journalism platforms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786113a881908f60285054d7ecfb completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.