Triple

T20806012
Position Surface form Disambiguated ID Type / Status
Subject Ross Kemp E512155 entity
Predicate employer P7 FINISHED
Object Sky1 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: Sky1 | Statement: [Ross Kemp, employer, Sky1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky1
Context triple: [Ross Kemp, employer, Sky1]
  • A. Sky100
    Sky100 is a 360-degree indoor observation deck on the 100th floor of Hong Kong’s International Commerce Centre, offering panoramic views of the city and Victoria Harbour.
  • B. Sky 2
    Sky 2 is the second studio album by the British-Australian instrumental rock/classical fusion band Sky, showcasing their blend of progressive rock and classical influences.
  • C. Sky (satellite television) chosen
    Sky (satellite television) is a major British pay-TV and broadcasting service offering a wide range of channels, on-demand content, and subscription packages via satellite.
  • D. SKY
    SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
  • E. SKY
    SKY is the Amtrak station code for Sandusky station in Sandusky, Ohio, used for passenger rail ticketing and scheduling.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cf1cbc819092d92625dfb107d0 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.