Triple

T22472055
Position Surface form Disambiguated ID Type / Status
Subject Brahm Wenger E555525 entity
Predicate notableWork P4 FINISHED
Object Spooky Buddies NE NERFINISHED

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: Spooky Buddies | Statement: [Brahm Wenger, notableWork, Spooky Buddies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spooky Buddies
Context triple: [Brahm Wenger, notableWork, Spooky Buddies]
  • A. Spooky Buddies chosen
    Spooky Buddies is a family-friendly Halloween-themed comedy film in the Air Buddies franchise featuring talking golden retriever puppies on a supernatural adventure.
  • B. The Spooky Bunch
    The Spooky Bunch is a Hong Kong New Wave film known for blending supernatural elements with offbeat humor and social commentary.
  • C. Spooky Two
    Spooky Two is the 1969 second studio album by British rock band Spooky Tooth, noted for its heavy, blues-influenced sound and enduring cult status among classic rock fans.
  • D. Spook
    Spook is a laid-back, beatnik-style alley cat and one of Top Cat’s loyal gang members in the classic Hanna-Barbera animated series.
  • E. 31 Nights of Halloween
    31 Nights of Halloween is Freeform’s annual month-long programming event featuring Halloween-themed movies, specials, and family-friendly spooky content.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be0d3c08190851537660cda619c completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:48 p.m.