Triple

T18592724
Position Surface form Disambiguated ID Type / Status
Subject Robert DeGuerin E454409 entity
Predicate characterInFilm P12208 FINISHED
Object Eraser 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: Eraser | Statement: [Robert DeGuerin, characterInFilm, Eraser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eraser
Context triple: [Robert DeGuerin, characterInFilm, Eraser]
  • A. Eraser chosen
    Eraser is a 1996 action thriller film starring Arnold Schwarzenegger as a U.S. Marshal who protects a key witness while uncovering a high-tech weapons conspiracy.
  • B. The Eraser
    The Eraser is Thom Yorke’s debut solo album, known for its minimalist electronic sound and introspective, politically tinged lyrics.
  • C. Erase Me
    "Erase Me" is a hip-hop/rock fusion single by Kid Cudi featuring Kanye West, known for its catchy hook and themes of heartbreak and fame.
  • D. The Eraser live band
    The Eraser live band was a live performance group formed by Thom Yorke to play his solo album "The Eraser," featuring musicians who later became known collectively as Atoms for Peace.
  • E. Rubberband
    Rubberband is a music production team best known for producing the hit song "Paint the Town Red."
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b6792481908eae92718aa4c889 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.