Triple

T23170265
Position Surface form Disambiguated ID Type / Status
Subject What Would Dolly Do E578833 entity
Predicate hasTitle P38 FINISHED
Object What Would Dolly Do 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: What Would Dolly Do | Statement: [What Would Dolly Do, hasTitle, What Would Dolly Do]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: What Would Dolly Do
Context triple: [What Would Dolly Do, hasTitle, What Would Dolly Do]
  • A. What Would Dolly Do chosen
    "What Would Dolly Do" is a country song that pays tribute to Dolly Parton’s wisdom and persona, using her as a moral and emotional compass for navigating life’s challenges.
  • B. The Dolly Dialogues
    The Dolly Dialogues is a collection of witty, society-themed sketches and stories by Anthony Hope that satirize late Victorian upper-class life through sparkling dialogue.
  • C. Dolly Dearest
    Dolly Dearest is a 1991 horror film about a possessed doll that terrorizes a family in Mexico.
  • D. Dolly City
    Dolly City is a darkly satirical Israeli novel by Orly Castel-Bloom that explores themes of violence, alienation, and urban dystopia through an absurd, surreal narrative.
  • E. Dolly
    Dolly is a character connected to Bonnie Anderson in the Toy Story franchise, likely one of the toys residing in her household.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2f10208190b3a0f9a4c790cb0a completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.