Triple

T20936628
Position Surface form Disambiguated ID Type / Status
Subject Kelsey Asbille E515600 entity
Predicate employer P7 FINISHED
Object The CW 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: The CW | Statement: [Kelsey Asbille, employer, The CW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The CW
Context triple: [Kelsey Asbille, employer, The CW]
  • A. The CW chosen
    The CW is an American broadcast television network known for targeting younger audiences with series in genres like teen drama, superhero shows, and fantasy.
  • B. The WB
    The WB was an American broadcast television network that operated from 1995 to 2006, best known for its lineup of youth-oriented dramas and genre series.
  • C. WIN Television network
    WIN Television network is a major Australian regional commercial television broadcaster that operates a network of stations affiliated with national networks to serve audiences outside the metropolitan markets.
  • D. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • E. CBS
    CBS is the acronym for the Central Bank of Somalia, the country’s primary monetary authority responsible for issuing currency and overseeing financial stability.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f9527004819082b72bf15e3c6419 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.