Triple

T6958029
Position Surface form Disambiguated ID Type / Status
Subject Leatrice Joy E161296 entity
Predicate name P16 FINISHED
Object Leatrice Joy E161296 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: Leatrice Joy | Statement: [Leatrice Joy, name, Leatrice Joy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leatrice Joy
Context triple: [Leatrice Joy, name, Leatrice Joy]
  • A. Leatrice Joy chosen
    Leatrice Joy was a prominent American silent film actress of the 1920s known for her expressive performances and distinctive bobbed hairstyle.
  • B. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • C. Laurie
    Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
  • D. Laurie
    Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad240ac8190808014a5b4920b41 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7588e2c5c8190a66a0205f3c2bf99 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.