Triple

T19998860
Position Surface form Disambiguated ID Type / Status
Subject Gold Rush E494265 entity
Predicate productionCompany P490 FINISHED
Object Raw TV 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: Raw TV | Statement: [Gold Rush, productionCompany, Raw TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raw TV
Context triple: [Gold Rush, productionCompany, Raw TV]
  • A. Raw TV chosen
    Raw TV is a British television production company known for creating factual, documentary, and true-crime programming for major broadcasters and streaming platforms.
  • B. TVP
    TVP is the regional police force responsible for law enforcement across the Thames Valley area of England, including Berkshire, Buckinghamshire, and Oxfordshire.
  • C. TVP
    TVP is Poland’s national public television broadcaster, operating multiple channels and services across the country.
  • D. Rec TV
    Rec TV is a television channel associated with Chile’s Canal 13 network, typically used to air archived or complementary programming.
  • E. TV-am
    TV-am was a British breakfast television franchise that broadcast on ITV in the 1980s and early 1990s, known for pioneering morning TV programming in the UK.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a09bdc819083305b08a11c6e34 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:32 p.m.