Triple

T16612458
Position Surface form Disambiguated ID Type / Status
Subject One Dozen Berrys E403609 entity
Predicate hasTrack P3284 FINISHED
Object Oh Baby Doll E1223019 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: Oh Baby Doll | Statement: [One Dozen Berrys, hasTrack, Oh Baby Doll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oh Baby Doll
Context triple: [One Dozen Berrys, hasTrack, Oh Baby Doll]
  • A. Oh Baby Doll chosen
    "Oh Baby Doll" is a rock and roll song recorded by Chuck Berry, featured on his 1957 album After School Session.
  • B. Girls and Dolls
    Girls and Dolls is a short film directed by Drena De Niro that explores the inner lives and relationships of young women.
  • C. Baby Doll
    Baby Doll is a 1956 American black comedy–drama film, adapted from Tennessee Williams’s work, noted for its controversial sexual themes and Southern Gothic style.
  • D. The Most Happy Fella
    The Most Happy Fella is a 1956 Broadway musical by Frank Loesser, known for its operatic score and romantic story set in California’s Napa Valley.
  • E. Annie Get Your Gun
    Annie Get Your Gun is a classic 1946 Broadway musical with music and lyrics by Irving Berlin that dramatizes the life and romance of sharpshooter Annie Oakley in Buffalo Bill’s Wild West Show.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3609776d48190b6b8c7826ac575c4 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007dad10ec8190b41d82b38fcd4dae completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.