Triple

T9535535
Position Surface form Disambiguated ID Type / Status
Subject Little Women (1949 film) E230004 entity
Predicate stars P1956 FINISHED
Object June Allyson E129341 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: June Allyson | Statement: [Little Women (1949 film), stars, June Allyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: June Allyson
Context triple: [Little Women (1949 film), stars, 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. 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.
  • C. 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.
  • D. 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.
  • E. Joan Leslie
    Joan Leslie was an American film actress best known for her roles in classic 1940s Hollywood films, often portraying wholesome, girl-next-door characters.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cd6a5c8190835c0910ec38ede3 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c3fa50388190bf2a1fbb50c6e0c0 completed April 5, 2026, 2:07 a.m.
Created at: March 30, 2026, 8 p.m.