Triple

T21933604
Position Surface form Disambiguated ID Type / Status
Subject Beyond the Valley of the Dolls E541631 entity
Predicate starredActor P5563 FINISHED
Object Michael Blodgett 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: Michael Blodgett | Statement: [Beyond the Valley of the Dolls, starredActor, Michael Blodgett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Blodgett
Context triple: [Beyond the Valley of the Dolls, starredActor, Michael Blodgett]
  • A. Michael Blodgett chosen
    Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
  • B. Jean Paul Blodgett
    Jean Paul Blodgett is an individual notable enough to be specifically cited as a bearer of the surname Blodgett.
  • C. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • D. John Jeffrey
    John Jeffrey was a 19th-century Scottish botanist and plant collector known for his explorations in western North America, where he documented and introduced numerous conifer species.
  • E. Stephen Holbrook
    Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12400a1248190b3f8f27f2aa4a858 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.