Triple

T16034316
Position Surface form Disambiguated ID Type / Status
Subject Theo van de Sande E388927 entity
Predicate notableWork P4 FINISHED
Object Once Bitten E1128943 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: Once Bitten | Statement: [Theo van de Sande, notableWork, Once Bitten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Once Bitten
Context triple: [Theo van de Sande, notableWork, Once Bitten]
  • A. Once Bitten chosen
    Once Bitten is a 1985 horror-comedy film about a centuries-old vampire countess who must drink the blood of a virgin teenager to retain her youth.
  • B. Once Bitten, Twice Shy
    "Once Bitten, Twice Shy" is a track featured on the mixtape *Detroit* by American rapper Big Sean.
  • C. Bitten
    Bitten is a work for which Roxanne Lee is best known, likely a notable piece in her creative or professional portfolio.
  • D. Bitten
    Bitten is a Canadian supernatural drama television series based on Kelley Armstrong’s "Women of the Otherworld" novels, following the struggles of the world’s only female werewolf as she navigates her dual life between a human existence and her pack.
  • E. The Education of a Vampire
    The Education of a Vampire is a lesser-known film project associated with American actress, writer, and filmmaker Flynn Belaine.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833a5aa88190a5cc3f82d55f5b62 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd1cafc81909125174eed475d55 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.