Triple

T14057633
Position Surface form Disambiguated ID Type / Status
Subject Derby de l’Est E338259 entity
Predicate notableClub P8182 FINISHED
Object AS Nancy Lorraine E78951 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: AS Nancy Lorraine | Statement: [Derby de l’Est, notableClub, AS Nancy Lorraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AS Nancy Lorraine
Context triple: [Derby de l’Est, notableClub, AS Nancy Lorraine]
  • A. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • B. Nancy chosen
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • C. Nanci
    Nanci is a feminine given name most notably associated with the late American folk and country singer-songwriter Nanci Griffith.
  • D. Lorraine Bruce
    Lorraine Bruce is a British actress best known for her role as Denise Simpson in the BBC drama series "The Syndicate."
  • E. Nancy Grey
    Nancy Grey is a fictional character from the film "Red Dog," contributing to the story’s emotional depth and relationships surrounding the legendary kelpie.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefaabd0819098870522a6ce850c completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:20 p.m.