Triple

T17316443
Position Surface form Disambiguated ID Type / Status
Subject Andrew Kreisberg E420436 entity
Predicate employer P7 FINISHED
Object The CW E46510 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: The CW | Statement: [Andrew Kreisberg, employer, The CW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The CW
Context triple: [Andrew Kreisberg, 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. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • D. 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.
  • E. CBS
    CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399d2fcc81909916302f141e236b completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e0c1b881908aa2b6b4d8ac04b6 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.