Triple

T4337485
Position Surface form Disambiguated ID Type / Status
Subject Fort Apache E97498 entity
Predicate stars P1956 FINISHED
Object Shirley Temple E111044 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: Shirley Temple | Statement: [Fort Apache, stars, Shirley Temple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley Temple
Context triple: [Fort Apache, stars, Shirley Temple]
  • A. Shirley Temple chosen
    Shirley Temple was a hugely popular American child actress, singer, and dancer of the 1930s who later became a diplomat.
  • B. Frances Ford Seymour
    Frances Ford Seymour was a Canadian-born American socialite and the second wife of actor Henry Fonda, and the mother of actors Jane and Peter Fonda.
  • C. Margaret O'Brien
    Margaret O'Brien is an American former child actress best known for her acclaimed performances in 1940s films such as "Meet Me in St. Louis."
  • D. Loretta Young
    Loretta Young was an American film and television actress known for her elegance, prolific career in Hollywood’s Golden Age, and Academy Award–winning performance in "The Farmer’s Daughter."
  • E. Judy Garland
    Judy Garland was an iconic American actress and singer best known for her role as Dorothy in "The Wizard of Oz" and her powerful, emotionally expressive performances on stage and screen.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516c621881909f094d040d4805e9 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9fd4988190afa9e04b029cd573 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:14 p.m.