Triple

T3819813
Position Surface form Disambiguated ID Type / Status
Subject More American Graffiti E84344 entity
Predicate stars P1956 FINISHED
Object Candy Clark E150153 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: Candy Clark | Statement: [More American Graffiti, stars, Candy Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candy Clark
Context triple: [More American Graffiti, stars, Candy Clark]
  • A. Candy Clark chosen
    Candy Clark is an American actress best known for her Academy Award–nominated role in the coming-of-age film "American Graffiti."
  • B. Myrna Smith
    Myrna Smith was an American soul and gospel singer best known as a member of the vocal group The Sweet Inspirations, who frequently recorded and toured with artists like Elvis Presley and Aretha Franklin.
  • C. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • D. Sondra Spriggs
    Sondra Spriggs is known as the former spouse of American actor Mykelti Williamson.
  • E. Diane Chambers
    Diane Chambers is an intelligent, sophisticated, and often pretentious waitress and love interest of Sam Malone on the classic American sitcom "Cheers."
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea601d408190b09dc486e77488d4 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fe2a3dc8190bf216d6f43439e58 completed March 14, 2026, 11 a.m.
Created at: March 9, 2026, 3:17 p.m.