Triple

T7354071
Position Surface form Disambiguated ID Type / Status
Subject The Girl Who Had Everything E169577 entity
Predicate hasElizabethTaylorRole P76769 FINISHED
Object Jean Latimer E659201 NE FINISHED

How this triple was built (3 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: Jean Latimer | Statement: [The Girl Who Had Everything, hasElizabethTaylorRole, Jean Latimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Latimer
Context triple: [The Girl Who Had Everything, hasElizabethTaylorRole, Jean Latimer]
  • A. Jean Latimer chosen
    Jean Latimer is the privileged yet emotionally conflicted young woman at the center of the drama in the film "The Girl Who Had Everything."
  • B. Jonathan Latimer
    Jonathan Latimer was an American crime novelist and screenwriter known for his hardboiled detective fiction and for adapting works by authors like Dashiell Hammett for film.
  • C. Edward Talbot
    Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
  • D. Edward Walson
    Edward Walson is a film producer known for working on projects such as Woody Allen’s romantic comedy "Magic in the Moonlight."
  • E. William Ashburner
    William Ashburner was a 19th-century American mining engineer and geologist known for his work in mineral surveying and resource assessment in the western United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasElizabethTaylorRole
Context triple: [The Girl Who Had Everything, hasElizabethTaylorRole, Jean Latimer]
  • A. hasGingerRogersRole
    Indicates that an entity is assigned or associated with a role specifically identified as the "Ginger Rogers" role in a given context or production.
  • B. MarilynMonroeRoleType
    Indicates the type or category of role associated with Marilyn Monroe in a given context.
  • C. leadActress
    Indicates that the subject is the primary female performer in the specified film, show, or production.
  • D. playedBy
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • E. marriageEndWithElizabethTaylor
    Indicates that a marriage concluded with Elizabeth Taylor as one of the spouses.
  • F. None of above. chosen

Provenance (5 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f139505c8190a7158cf59a6e089e completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b490cc8190bbbaf7825e293566 completed March 28, 2026, 4:32 p.m.
PD Predicate disambiguation batch_69c6f02aeeb8819099d1626566cec18b completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f1379cac81908b35e617c44c7b13 completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 3:05 p.m.