Triple

T21481777
Position Surface form Disambiguated ID Type / Status
Subject Marc Platt E530009 entity
Predicate workedWith P398 FINISHED
Object Rita Hayworth NE NERFINISHED

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: Rita Hayworth | Statement: [Marc Platt, workedWith, Rita Hayworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Hayworth
Context triple: [Marc Platt, workedWith, Rita Hayworth]
  • A. Rita Hayworth chosen
    Rita Hayworth was a celebrated American film actress and dancer of Hollywood’s Golden Age, famed for her glamorous screen presence and iconic roles in 1940s musicals and dramas.
  • B. 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.
  • C. Cyd Charisse
    Cyd Charisse was an American dancer and actress renowned for her dazzling, technically precise performances in classic Hollywood musicals of the 1940s and 1950s.
  • D. Eva Gardner
    Eva Gardner is an American rock bassist best known for her work with bands such as The Mars Volta and for touring with major artists across a variety of genres.
  • E. Ava Gardner
    Ava Gardner was a celebrated American film actress and Hollywood icon of the 1940s and 1950s, renowned for her beauty, charisma, and roles in classics such as "The Killers" and "Mogambo."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:21 p.m.