Triple

T14028699
Position Surface form Disambiguated ID Type / Status
Subject Jim Belushi E337529 entity
Predicate film P9968 FINISHED
Object Curly Sue E995453 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: Curly Sue | Statement: [Jim Belushi, film, Curly Sue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curly Sue
Context triple: [Jim Belushi, film, Curly Sue]
  • A. Curly Sue chosen
    Curly Sue is a 1991 American comedy-drama film written and directed by John Hughes, following a streetwise young girl and her con-artist guardian as they hustle their way into the life of a wealthy lawyer.
  • B. 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.
  • C. Babs
    Babs is a lovable, dim-witted yet loyal hen from the Chicken Run animated film series, known for her knitting habit and comic relief.
  • D. Babs
    Babs is a fictional character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
  • E. Babs
    Babs is the central protagonist of the work "In Fabric," around whom the film’s eerie and surreal events unfold.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb657ab348190ab51ec0e8caa2c4f completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.