Triple

T8731256
Position Surface form Disambiguated ID Type / Status
Subject The Hunchback of Notre Dame (1956 film) E207259 entity
Predicate mainCharacter P1183 FINISHED
Object Esmeralda E206980 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: Esmeralda | Statement: [The Hunchback of Notre Dame (1956 film), mainCharacter, Esmeralda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esmeralda
Context triple: [The Hunchback of Notre Dame (1956 film), mainCharacter, Esmeralda]
  • A. Esmeralda chosen
    Esmeralda is a compassionate Romani street dancer in Victor Hugo’s novel "Notre-Dame de Paris," whose beauty and kindness captivate several central characters and drive much of the story’s tragedy.
  • B. Béatrice
    Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
  • C. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • D. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • E. Margueritte
    Margueritte is a given name and surname, most commonly recognized as a French variant or spelling related to the name Marguerite.
  • 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d27efb88190b42d5bc9774d9c63 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88dc7ba88190865957c8d344fa00 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:37 p.m.