Triple

T3859977
Position Surface form Disambiguated ID Type / Status
Subject The Sentinel E90110 entity
Predicate hasCastMember P2308 FINISHED
Object Sylvia Miles E256269 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: Sylvia Miles | Statement: [The Sentinel, hasCastMember, Sylvia Miles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Miles
Context triple: [The Sentinel, hasCastMember, Sylvia Miles]
  • A. Sylvia Miles chosen
    Sylvia Miles was an American actress best known for her Oscar-nominated supporting role as a jaded New York socialite in the film "Midnight Cowboy."
  • B. Marilyn Vance
    Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
  • C. Nina Warren
    Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
  • D. Betsy Rue
    Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
  • E. Lynn Bracken
    Lynn Bracken is a central femme fatale character in the neo-noir crime film "L.A. Confidential," portrayed as a glamorous Veronica Lake look-alike entangled in the movie’s web of corruption and intrigue.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.