Triple

T9246647
Position Surface form Disambiguated ID Type / Status
Subject Ruth Jones E222211 entity
Predicate employer P7 FINISHED
Object Sky1 E356478 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: Sky1 | Statement: [Ruth Jones, employer, Sky1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky1
Context triple: [Ruth Jones, employer, Sky1]
  • A. 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.
  • B. SKY
    SKY is the ICAO airline designator used to identify Skymark Airlines in international aviation operations.
  • C. Sky 360
    Sky 360 is a revolving restaurant located atop the Calgary Tower, offering panoramic views of Calgary and its surroundings.
  • D. Sky Digital
    Sky Digital was a major British satellite television service operated by BSkyB, known for pioneering digital pay-TV and offering a wide range of channels and interactive services in the UK and Ireland.
  • E. Star TV
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd03f181e081908d9ff7dc6f86420e completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f79cfc81908bae290aa25cf2a1 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:30 p.m.