Triple

T16590980
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Vanderpool E403083 entity
Predicate notableWork P4 FINISHED
Object Pillow Talk E139818 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: Pillow Talk | Statement: [Sylvia Vanderpool, notableWork, Pillow Talk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pillow Talk
Context triple: [Sylvia Vanderpool, notableWork, Pillow Talk]
  • A. Pillow Talk chosen
    "Pillow Talk" is a 1959 romantic comedy film starring Doris Day and Rock Hudson, celebrated for its witty screenplay, split-screen telephone gags, and Thelma Ritter’s memorable supporting performance.
  • B. Love on a Pillow
    Love on a Pillow is a 1962 French romantic drama film starring Brigitte Bardot as a young woman drawn into a destructive relationship after saving a stranger’s life.
  • C. Overheard
    Overheard is a Hong Kong crime thriller film featuring Daniel Wu in a story centered on high-stakes surveillance and financial intrigue.
  • D. The Love Nest
    The Love Nest is a 1922 silent comedy short film starring Buster Keaton, known for its darkly humorous tale of a man who escapes heartbreak by signing onto a whaling ship with a tyrannical captain.
  • E. Back Talk
    Back Talk is a section of the progressive news magazine Frontiers that features opinionated commentary, reader responses, or editorial columns.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359a012e081909a0604dde3c04bbb completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759b9e5081909815d2cd00d44490 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.