Triple

T20784672
Position Surface form Disambiguated ID Type / Status
Subject Words and Music E511596 entity
Predicate hasCastMember P2308 FINISHED
Object June Allyson 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 Allyson | Statement: [Words and Music, hasCastMember, June Allyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: June Allyson
Context triple: [Words and Music, hasCastMember, June Allyson]
  • A. June Allyson chosen
    June Allyson was an American film and stage actress best known for her girl-next-door persona in 1940s and 1950s Hollywood musicals and dramas.
  • B. Marilyn Whitmore
    Marilyn Whitmore is a fictional First Lady of the United States in the film "Independence Day," married to President Thomas J. Whitmore.
  • C. Lizabeth Scott
    Lizabeth Scott was an American film actress known for her sultry voice and frequent roles as a femme fatale in 1940s and 1950s film noir.
  • D. Ann Sheridan
    Ann Sheridan was an American film actress and singer of the 1930s and 1940s, nicknamed "The Oomph Girl" for her sultry screen presence in numerous Hollywood classics.
  • E. Jean Simmons
    Jean Simmons was a British actress acclaimed for her versatile performances in classic films from the 1940s through the 1960s, including major roles in both British cinema and Hollywood epics.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28b4ce88190a45f1c99b58d18eb completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.