Triple

T19571901
Position Surface form Disambiguated ID Type / Status
Subject Henry & June E489737 entity
Predicate mainCharacter P1183 FINISHED
Object June Miller 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: June Miller | Statement: [Henry & June, mainCharacter, June Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: June Miller
Context triple: [Henry & June, mainCharacter, June Miller]
  • A. June Miller chosen
    June Miller was an influential figure in the bohemian literary circles of early 20th-century New York and Paris, best known as the charismatic and complex muse of writer Henry Miller and a subject in Anaïs Nin’s diaries.
  • B. Shirley Miller
    Shirley Miller is the central protagonist of the crime drama film "Widows," a recently widowed woman who becomes the leader of a heist planned to settle her late husband's debts.
  • C. Lorraine Miller
    Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
  • D. Sandy Miller
    Sandy Miller is a fictional nurse character featured in the American television series "Nurses."
  • E. Patricia Miller
    Patricia Miller is known primarily as the wife of American attorney Herbert J. Miller Jr., who was involved in several high-profile political legal cases.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.