Triple

T13394275
Position Surface form Disambiguated ID Type / Status
Subject Cameron Mitchell E319656 entity
Predicate workedWith P398 FINISHED
Object Betty Grable E250488 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: Betty Grable | Statement: [Cameron Mitchell, workedWith, Betty Grable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Grable
Context triple: [Cameron Mitchell, workedWith, Betty Grable]
  • A. Betty Grable chosen
    Betty Grable was an American actress, singer, and iconic 1940s pin-up star best known for her musical film roles and famously insured legs.
  • B. Ava Paige
    Ava Paige is the calculating and morally ambiguous leader of the WCKD organization in the Maze Runner series, orchestrating experiments on immune youths to find a cure for the Flare virus.
  • C. Jayne Mansfield
    Jayne Mansfield was a 1950s and 1960s American actress, sex symbol, and entertainer known for her comedic blonde bombshell roles in film, television, and on stage.
  • D. Grace Hiller
    Grace Hiller was the wife of Theophilus Eaton, an early colonial leader and co-founder of the New Haven Colony in 17th-century New England.
  • E. Mamie Van Doren
    Mamie Van Doren is an American actress, singer, and 1950s sex symbol known for her roles in rock 'n' roll and exploitation films.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d892d08190b1b192b93fe3d72d completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f754734db081909f262fa2325b7e6d completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:34 p.m.