Triple

T22472056
Position Surface form Disambiguated ID Type / Status
Subject Brahm Wenger E555525 entity
Predicate notableWork P4 FINISHED
Object Treasure 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: Treasure Buddies | Statement: [Brahm Wenger, notableWork, Treasure Buddies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Treasure Buddies
Context triple: [Brahm Wenger, notableWork, Treasure Buddies]
  • A. Treasure Buddies chosen
    Treasure Buddies is a family adventure comedy film in Disney’s Air Buddies franchise, following a group of talking puppies on an archaeological quest filled with humor and light-hearted peril.
  • B. Treasure Hunt
    "Treasure Hunt" is a novel by Frederick Buechner, part of his Book of Bebb series, that continues the comic yet spiritually probing adventures of the eccentric evangelist Leo Bebb.
  • C. Treasure Hunt
    Treasure Hunt was a popular American television game show hosted by comedian Jan Murray in the 1950s and early 1960s, known for its suspenseful prize-selection format.
  • D. Treasure
    "Treasure" is a 2013 funk- and disco-influenced pop song by Bruno Mars, known for its retro sound and upbeat, danceable vibe.
  • E. Treasure
    Treasure is a Japanese video game developer renowned for its innovative, fast-paced action titles and cult-classic shooters.
  • 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.