Triple

T14584431
Position Surface form Disambiguated ID Type / Status
Subject Budd Schulberg E342275 entity
Predicate notableWork P4 FINISHED
Object The Disenchanted E397290 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: The Disenchanted | Statement: [Budd Schulberg, notableWork, The Disenchanted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Disenchanted
Context triple: [Budd Schulberg, notableWork, The Disenchanted]
  • A. The Disenchanted chosen
    The Disenchanted is a Broadway play, adapted from Budd Schulberg’s novel, best known for its acclaimed production starring Jason Robards as a disillusioned writer.
  • B. Disenchantment
    Disenchantment is an animated fantasy sitcom created by Matt Groening that follows the misadventures of a hard-drinking princess, her elf companion, and a personal demon in the medieval kingdom of Dreamland.
  • C. Disenchanted
    Disenchanted is a musical fantasy comedy film that serves as the sequel to Disney’s Enchanted, continuing the story of Giselle in a suburban happily-ever-after gone wrong.
  • D. Encantado
    Encantado is a municipality in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
  • E. Enchanted
    Enchanted is a 2007 Disney live-action/animated musical fantasy film that playfully subverts classic fairy-tale tropes as an animated princess is transported into modern-day New York City.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bbe6208190af9cd131c147e321 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.