Triple

T12492985
Position Surface form Disambiguated ID Type / Status
Subject Leslie Townes Hope E298610 entity
Predicate notableWork P4 FINISHED
Object My Favorite Brunette E298614 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: My Favorite Brunette | Statement: [Leslie Townes Hope, notableWork, My Favorite Brunette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Favorite Brunette
Context triple: [Leslie Townes Hope, notableWork, My Favorite Brunette]
  • A. My Favorite Brunette chosen
    My Favorite Brunette is a 1947 comedy film noir parody starring Bob Hope as a baby photographer who gets mixed up in a murder mystery.
  • B. My Favorite Blonde
    My Favorite Blonde is a 1942 American comedy-thriller film starring Bob Hope and Madeleine Carroll that blends espionage intrigue with screwball humor.
  • C. A Blonde in Love
    A Blonde in Love is a 1965 Czechoslovak romantic comedy-drama film directed by Miloš Forman that became a landmark of the Czech New Wave cinema.
  • D. The Blonde
    The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
  • E. Ma, I Don't Love Her
    "Ma, I Don't Love Her" is a hip-hop track by the duo Clipse, known for its storytelling about complicated relationships over a Neptunes-produced beat.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bab99bc8190abe6dfb7c6a7fe6f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.