Triple

T16004635
Position Surface form Disambiguated ID Type / Status
Subject Laureline E388184 entity
Predicate basedOn P98 FINISHED
Object Laureline (comics) E388184 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: Laureline (comics) | Statement: [Laureline, basedOn, Laureline (comics)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laureline (comics)
Context triple: [Laureline, basedOn, Laureline (comics)]
  • A. Laureline chosen
    Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
  • B. Béline
    Béline is the hypocritical and scheming second wife of Argan in Molière’s comedy "Le Malade imaginaire."
  • C. Laudine
    Laudine is a noble lady from Arthurian legend, best known as the Lady of the Fountain in Chrétien de Troyes’ romance "Yvain, the Knight of the Lion."
  • D. Eulalie
    Eulalie is a feminine given name of French origin, derived from the Latin "Eulalia" meaning "well-spoken" or "eloquent."
  • E. Laurie
    Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157fe776c81908f7bf29ef064a6ba completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.