Triple

T15025454
Position Surface form Disambiguated ID Type / Status
Subject Geraldine Laybourne E378200 entity
Predicate founded P104 FINISHED
Object Oxygen Media E331111 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: Oxygen Media | Statement: [Geraldine Laybourne, founded, Oxygen Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxygen Media
Context triple: [Geraldine Laybourne, founded, Oxygen Media]
  • A. Oxygen Media chosen
    Oxygen Media is an American television production and cable network company best known for operating the Oxygen channel, which focuses on programming targeted primarily at women.
  • B. Ozy Media
    Ozy Media is a digital media and entertainment company known for producing news, culture, and storytelling content across newsletters, podcasts, videos, and live events.
  • C. Ingenious Media
    Ingenious Media is a British media investment and production company known for financing and supporting major film projects, including the acclaimed adaptation of "Life of Pi."
  • D. Bron Media Corp
    Bron Media Corp is a Canadian entertainment company that serves as the parent organization overseeing Bron Studios’ film and television production activities.
  • E. Mongrel Media
    Mongrel Media is a Canadian independent film distribution company known for releasing art-house, foreign, and critically acclaimed films.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b0bbf4819082e14715bfd6003d completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:57 a.m.