Triple

T20389191
Position Surface form Disambiguated ID Type / Status
Subject Miss Pennsylvania E498040 entity
Predicate selectsRepresentativeFor P55060 FINISHED
Object Miss America 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: Miss America | Statement: [Miss Pennsylvania, selectsRepresentativeFor, Miss America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss America
Context triple: [Miss Pennsylvania, selectsRepresentativeFor, Miss America]
  • A. Miss America
    Miss America is a 1995 autobiographical book by radio personality Howard Stern, known for its provocative humor and candid personal revelations.
  • B. Miss America chosen
    Miss America is a World War II–era Marvel Comics superheroine, often associated with the Invaders and known for her enhanced strength, durability, and patriotic theme.
  • C. Do Miss America
    "Do Miss America" is a rock and roll song featured on the album "Rock n Roll."
  • D. Miss America (album)
    Miss America is a hard rock/post-grunge studio album by American rock band Saving Abel, known for its radio-friendly hooks and Southern rock influences.
  • E. Miss Virginia
    Miss Virginia is a 2019 drama film starring Uzo Aduba as a determined mother who fights for better educational opportunities for her son and underserved children in Washington, D.C.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.