Triple

T11770500
Position Surface form Disambiguated ID Type / Status
Subject Fleur Forsyte E279883 entity
Predicate givenName P17 FINISHED
Object Fleur E625298 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: Fleur | Statement: [Fleur Forsyte, givenName, Fleur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleur
Context triple: [Fleur Forsyte, givenName, Fleur]
  • A. Fleur chosen
    Fleur is a feminine given name of French origin meaning "flower," often used as a middle name in English-speaking countries.
  • B. Flora Rose
    Flora Rose was an influential early 20th-century American educator and co-founder of Cornell University’s home economics program, known for advancing scientific approaches to household management and women’s education.
  • C. Eglantine
    "Eglantine" is a whimsical musical number from Disney’s 1971 film *Bedknobs and Broomsticks*, sung by Professor Emelius Browne as he praises the charms and talents of Eglantine Price.
  • D. Flora
    Flora is a feminine given name of Latin origin meaning "flower," historically associated with the Roman goddess of flowers and spring.
  • E. Flora
    Flora is a popular brand of margarine and other spreadable food products owned by Upfield and marketed for heart health and everyday cooking.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55c9f988190b203b66a28c767ae completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09086c4ec81908bc8b707a49c3ac2 completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.