Triple

T3313541
Position Surface form Disambiguated ID Type / Status
Subject One Hundred and One Dalmatians E69627 entity
Predicate antagonist P4675 FINISHED
Object Cruella de Vil E142423 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: Cruella de Vil | Statement: [One Hundred and One Dalmatians, antagonist, Cruella de Vil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cruella de Vil
Context triple: [One Hundred and One Dalmatians, antagonist, Cruella de Vil]
  • A. Cruella chosen
    Cruella is a 2021 live-action Disney film that serves as a stylish origin story for the iconic 101 Dalmatians villain Cruella de Vil, starring Emma Stone in the title role.
  • B. Rothbart
    Rothbart is the dark sorcerer and primary antagonist in the ballet "Swan Lake," responsible for cursing Odette and driving the central conflict of the story.
  • C. Elvira
    Elvira is an ancient city in Roman Hispania, traditionally identified with the area near modern Granada in Spain and known as the site of the early 4th-century Council of Elvira.
  • D. Stepmother
    The Stepmother in Rodgers & Hammerstein's Cinderella (1997) is the vain, domineering matriarch who mistreats Cinderella while scheming to elevate her own daughters’ social standing.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f760348190abd8854c369cb41b completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.