Triple

T11307267
Position Surface form Disambiguated ID Type / Status
Subject Hands All Over E267747 entity
Predicate hasPart P35 FINISHED
Object Stutter E603375 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: Stutter | Statement: [Hands All Over, hasPart, Stutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stutter
Context triple: [Hands All Over, hasPart, Stutter]
  • A. Stutter chosen
    "Stutter" is a creative work associated with Joe, likely recognized as one of his more prominent or influential pieces.
  • B. Stutterer
    Stutterer is a 2015 Irish short film that follows a young man with a severe stutter as he struggles with communication and an impending face-to-face meeting with his online girlfriend.
  • C. The Stumble
    "The Stumble" is a classic electric blues instrumental by guitarist Freddie King, renowned for its driving shuffle rhythm and influential lead guitar work.
  • D. Speechless
    "Speechless" is a romantic R&B ballad by Beyoncé featured on her debut solo album, Dangerously in Love.
  • E. Speechless
    "Speechless" is a 1994 romantic comedy film about two rival political speechwriters who fall in love during a heated election campaign.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a62ceec8190af25edf44c5fc1e9 completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.