Triple

T12885650
Position Surface form Disambiguated ID Type / Status
Subject Camino Real E308216 entity
Predicate includesCharacter P5716 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: [Camino Real, includesCharacter, Esmeralda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esmeralda
Context triple: [Camino Real, includesCharacter, 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. Esclarmonde
    Esclarmonde is a late 19th-century French opera by Jules Massenet, noted for its virtuosic soprano role and lush, romantic orchestration.
  • C. Marie-Esmeralda
    Marie-Esmeralda is a Belgian princess, journalist, and environmental and human rights activist, known as the daughter of King Leopold III of Belgium.
  • D. Béatrice
    Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
  • E. Gisèle
    Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714415c08190aa9944b494a3ddad completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5556fe081909ada9d491b21b17b completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.