Triple

T23340600
Position Surface form Disambiguated ID Type / Status
Subject The Food of the Gods E591723 entity
Predicate castMember P1668 FINISHED
Object Pamela Franklin 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: Pamela Franklin | Statement: [The Food of the Gods, castMember, Pamela Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamela Franklin
Context triple: [The Food of the Gods, castMember, Pamela Franklin]
  • A. Pamela Franklin chosen
    Pamela Franklin is a British actress best known for her work as a child and young adult in 1960s and 1970s films and television, particularly in psychological horror and drama.
  • B. Pamela Frank
    Pamela Frank is an acclaimed American violinist renowned for her expressive performances and influential teaching career.
  • C. Pamela Frank
    Pamela Frank is the second wife of singer and civil rights activist Harry Belafonte, known primarily for her long-term marriage to the entertainer.
  • D. Pamela Jenkins
    Pamela Jenkins is a fictional character from the Saw horror film franchise, appearing in the movie "Saw VI."
  • E. Paula Ellis
    Paula Ellis is known as the former wife of acclaimed American actor Rod Steiger.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198329d9c8190992627afa9b54bed completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.