Triple

T14766136
Position Surface form Disambiguated ID Type / Status
Subject Necessary Roughness E347000 entity
Predicate portrayedBy P1507 FINISHED
Object Callie Thorne E1118387 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: Callie Thorne | Statement: [Necessary Roughness, portrayedBy, Callie Thorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callie Thorne
Context triple: [Necessary Roughness, portrayedBy, Callie Thorne]
  • A. Callie Thorne chosen
    Callie Thorne is an American actress best known for her television work in series such as "Rescue Me" and "Necessary Roughness."
  • B. Callie
    Callie is the given name of Katherine Anne Porter, the acclaimed American journalist, essayist, and Pulitzer Prize–winning author.
  • C. Callie Rivers
    Callie Rivers is a former American professional volleyball player and the daughter of longtime NBA coach Doc Rivers.
  • D. Callie Shaw
    Callie Shaw is a recurring character in the Hardy Boys mystery novels, known as Frank Hardy’s close friend and frequent love interest who often becomes involved in the brothers’ adventures.
  • E. Callie Webb
    Callie Webb is a central character in the satirical mockumentary film "For Your Consideration," which parodies the Hollywood awards season and the film industry.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b1ff0c81908d5dffbaf86c3ca3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.