Triple

T5159793
Position Surface form Disambiguated ID Type / Status
Subject Intruder in the Dust E116407 entity
Predicate castMember P1668 FINISHED
Object Claude Jarman Jr. E134229 NE FINISHED

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: Claude Jarman Jr. | Statement: [Intruder in the Dust, castMember, Claude Jarman Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claude Jarman Jr.
Context triple: [Intruder in the Dust, castMember, Claude Jarman Jr.]
  • A. Claude Jarman Jr. chosen
    Claude Jarman Jr. is an American former child actor best known for his acclaimed performance in the 1946 film "The Yearling."
  • B. Michael Blodgett
    Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
  • C. Steven Dillingham
    Steven Dillingham is an American government official who served as Director of the U.S. Census Bureau during the 2020 United States census.
  • D. Patrick G. Jackson
    Patrick G. Jackson is an American surgeon and academic physician best known as the husband of U.S. Supreme Court Justice Ketanji Brown Jackson.
  • E. Gregory Jacobs
    Gregory Jacobs is an American film producer and director known for his longtime collaboration with Steven Soderbergh on numerous critically acclaimed movies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd790613bc819084765cd4ea648dc9 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed01ce48081908813348b762bf1b0 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.