Triple

T23264131
Position Surface form Disambiguated ID Type / Status
Subject Justin Fonda E582098 entity
Predicate memberOf P10 FINISHED
Object Fonda family 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: Fonda family | Statement: [Justin Fonda, memberOf, Fonda family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fonda family
Context triple: [Justin Fonda, memberOf, Fonda family]
  • A. Fonda family chosen
    The Fonda family is a prominent American acting dynasty spanning multiple generations, including stars such as Henry, Jane, Peter, and Bridget Fonda.
  • B. DeMille family
    The DeMille family is a prominent American show-business dynasty best known for pioneering film director Cecil B. DeMille and its multigenerational influence on Hollywood cinema.
  • C. Brando family
    The Brando family is an American acting dynasty best known for its members’ influential contributions to film and theater, most famously through Marlon Brando.
  • D. Zabriskie family
    The Zabriskie family is a historic American family of Dutch origin known for its early settlement and prominence in New Jersey.
  • E. Coppola family
    The Coppola family is a prominent American filmmaking dynasty that includes acclaimed directors, actors, and producers whose work has significantly shaped modern cinema.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.