Triple

T977105
Position Surface form Disambiguated ID Type / Status
Subject High Tide (1987 film) E21077 entity
Predicate hasCastMember P2308 FINISHED
Object Jan Adele E117186 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: Jan Adele | Statement: [High Tide (1987 film), hasCastMember, Jan Adele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Adele
Context triple: [High Tide (1987 film), hasCastMember, Jan Adele]
  • A. Jan Adele chosen
    Jan Adele was an Australian actress and comedian best known for her character roles in film, television, and theatre during the 1970s and 1980s.
  • B. Astrid Menks
    Astrid Menks is a Latvian-American philanthropist and former cocktail waitress best known as the longtime partner and later wife of billionaire investor Warren Buffett.
  • C. Adele Morales
    Adele Morales was an American painter and writer best known for her tumultuous marriage to author Norman Mailer and her later memoir recounting their relationship.
  • D. Oleta Adams
    Oleta Adams is an American soul, jazz, and gospel singer and pianist best known for her powerful vocals and her hit collaboration "Get Here" and work with the band Tears for Fears.
  • E. Lila Hotz
    Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a14aec48190bc620cf492a82466 completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:40 p.m.