Triple

T9901840
Position Surface form Disambiguated ID Type / Status
Subject Randal Kleiser E182300 entity
Predicate directorOf P537 FINISHED
Object Red Riding Hood E126643 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: Red Riding Hood | Statement: [Randal Kleiser, directorOf, Red Riding Hood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Riding Hood
Context triple: [Randal Kleiser, directorOf, Red Riding Hood]
  • A. Little Red Riding Hood chosen
    Little Red Riding Hood is a classic European fairy-tale character, typically portrayed as a young girl in a red hooded cloak who encounters a wolf while visiting her grandmother.
  • B. The Witch in the Wood
    The Witch in the Wood is a fantasy novel by T. H. White, later revised and republished as The Queen of Air and Darkness, that forms part of his Arthurian cycle The Once and Future King.
  • C. Woodmansterne
    Woodmansterne is a village and residential area in the borough of Reigate and Banstead in Surrey, England.
  • D. Red Riding Hood (2011 film)
    Red Riding Hood (2011 film) is a dark fantasy horror romance that reimagines the classic fairy tale with a gothic, werewolf-centered twist.
  • E. Hansel & Gretel
    Hansel & Gretel is a popular ballet adaptation of the classic Brothers Grimm fairy tale about two siblings who outwit a witch in a magical forest.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e221448190b536742d1269f9d7 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2125208190b4cf549d67d1ca42 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.