Triple

T9789621
Position Surface form Disambiguated ID Type / Status
Subject Longtime Companion E237573 entity
Predicate castMember P1668 FINISHED
Object John Dossett E673041 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: John Dossett | Statement: [Longtime Companion, castMember, John Dossett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dossett
Context triple: [Longtime Companion, castMember, John Dossett]
  • A. John Dossett chosen
    John Dossett is an American stage actor known for his prominent roles in Broadway musicals and plays.
  • B. Frank Mauro
    Frank Mauro is a musician known for being a member of the influential New York punk band Richard Hell and the Voidoids.
  • C. John Sheldon
    John Sheldon was a colonial militia leader from Deerfield, Massachusetts, known for his role in defending the town during the 1704 Deerfield Massacre and later diplomatic missions to negotiate the release of captives.
  • D. Leland Robinson
    Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
  • E. George Keister
    George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.