Triple

T14049778
Position Surface form Disambiguated ID Type / Status
Subject Can't Help Lovin' Dat Man E338054 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Queenie E338058 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: Queenie | Statement: [Can't Help Lovin' Dat Man, associatedWithCharacter, Queenie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queenie
Context triple: [Can't Help Lovin' Dat Man, associatedWithCharacter, Queenie]
  • A. Queenie chosen
    Queenie is a warm-hearted, humorous African American cook and supporting character in the classic musical "Show Boat," often providing both comic relief and emotional grounding to the story.
  • B. Queenie Turrill
    Queenie Turrill is a wise, kind-hearted, and traditionally skilled village woman in the British period drama "Lark Rise to Candleford," known for her strong sense of community and folk knowledge.
  • C. Suzie Q
    "Suzie Q" is a classic rock and roll song, originally recorded by Dale Hawkins in 1957 and later popularized by Creedence Clearwater Revival.
  • D. Cherie
    Cherie is the naive yet determined young woman who becomes the romantic focus of the cowboy in the classic stage play and film "Bus Stop."
  • E. Suzy Q
    Suzy Q is a 1999 Dutch television film known for its gritty coming-of-age story set in 1960s Amsterdam and for featuring an early breakout performance by Carice van Houten.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8a518081908ad030ba48b7b946 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc345a4c081908f803cc53b4f8bca completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.