Triple

T18259916
Position Surface form Disambiguated ID Type / Status
Subject Lucie Manette E437320 entity
Predicate givenName P17 FINISHED
Object Lucie 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: Lucie | Statement: [Lucie Manette, givenName, Lucie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucie
Context triple: [Lucie Manette, givenName, Lucie]
  • A. Lucie
    Lucie is a little girl in Beatrix Potter’s children’s story "The Tale of Mrs. Tiggy-Winkle," known for visiting the hedgehog washerwoman in a whimsical countryside adventure.
  • B. Lucie
    Lucie is the first name of Lucie Arnaz, an American actress, singer, and producer and the daughter of Lucille Ball and Desi Arnaz.
  • C. Lucie chosen
    Lucie is a feminine given name of Latin origin, derived from "lux" meaning "light," and is widely used in French-speaking countries and beyond.
  • D. Lucie Miller
    Lucie Miller is a companion of the Eighth Doctor in the Doctor Who audio dramas, known for her sharp wit, modern attitude, and central role in several major story arcs.
  • E. Lucie de Mirecourt
    Lucie de Mirecourt is a character in the 1935 French film "Princesse Tam-Tam," which stars Josephine Baker.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd89899c8190b8b652c4f61aa5cf completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.