Triple

T11366594
Position Surface form Disambiguated ID Type / Status
Subject Afterburn/Aftershock E269221 entity
Predicate authorOfSourceMaterial P2806 FINISHED
Object Sylvia Day E921656 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: Sylvia Day | Statement: [Afterburn/Aftershock, authorOfSourceMaterial, Sylvia Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Day
Context triple: [Afterburn/Aftershock, authorOfSourceMaterial, Sylvia Day]
  • A. Sylvia Day chosen
    Sylvia Day is a bestselling American author known for her contemporary romance and erotic fiction novels, including the Crossfire series.
  • B. Alison Cross
    Alison Cross is an American screenwriter known for her work on socially conscious television films and dramas, including the acclaimed biographical TV movie "Serving in Silence: The Margarethe Cammermeyer Story."
  • C. Julie Cooper
    Julie Cooper is a central character in the 1970s–80s American sitcom "One Day at a Time," portrayed as one of Ann Romano’s teenage daughters navigating family and personal challenges.
  • D. Julie Cooper
    Julie Cooper is the sister of Barbara Cooper, known primarily in relation to her family connection.
  • E. Sarah Alexander
    Sarah Alexander is a British actress best known for her roles in television comedies such as "Coupling" and "Green Wing."
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea88558c8190aa18881af51a7b96 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bb3bd648190affa7ee85027c958 completed April 20, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:33 p.m.