Triple

T10972208
Position Surface form Disambiguated ID Type / Status
Subject Shawn Hatosy E259267 entity
Predicate notableFilm P22 FINISHED
Object In & Out E146871 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: In & Out | Statement: [Shawn Hatosy, notableFilm, In & Out]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In & Out
Context triple: [Shawn Hatosy, notableFilm, In & Out]
  • A. In & Out chosen
    "In & Out" is a 1997 American comedy film about a small-town teacher whose life is upended when a former student publicly questions his sexuality, featuring a supporting performance by Debbie Reynolds.
  • B. Schmilco
    Schmilco is a 2016 studio album by American alternative rock band Wilco, noted for its stripped-down, introspective, and acoustic-driven sound.
  • C. Tarbock
    Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
  • D. Beyond Burger
    Beyond Burger is a popular plant-based burger patty designed to closely mimic the taste and texture of beef while being made entirely from non-animal ingredients.
  • E. Voodoo Doughnut
    Voodoo Doughnut is a quirky, Portland-born doughnut shop chain famous for its creative, over-the-top doughnuts and eclectic atmosphere.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344a2130081908d9d22ee84890925 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.