Triple

T2541755
Position Surface form Disambiguated ID Type / Status
Subject Shirley Jones E57799 entity
Predicate spouse P13 FINISHED
Object Jack Cassidy E274649 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: Jack Cassidy | Statement: [Shirley Jones, spouse, Jack Cassidy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Cassidy
Context triple: [Shirley Jones, spouse, Jack Cassidy]
  • A. Jack Cassidy chosen
    Jack Cassidy was an American actor and singer known for his work on Broadway and television, as well as for being part of a prominent show-business family.
  • B. Sal Mineo
    Sal Mineo was an American actor best known as a 1950s teen idol and two-time Academy Award nominee, particularly recognized for his role in classic Hollywood dramas.
  • C. John Phillip Law
    John Phillip Law was an American film actor known for his roles in 1960s and 1970s movies, including notable performances in both comedies and cult classics.
  • D. Andy Phillip
    Andy Phillip was an American professional basketball player and Hall of Famer, best known as one of the early stars of the NBA in the 1940s and 1950s.
  • E. David Tomlinson
    David Tomlinson was an English actor best known for his comedic roles in classic Disney films such as "Mary Poppins" and "Bedknobs and Broomsticks."
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d046430819095605b8a8fd987d5 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.