Triple

T6807587
Position Surface form Disambiguated ID Type / Status
Subject Diane E156346 entity
Predicate relatedName P3889 FINISHED
Object Deanna E397780 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: Deanna | Statement: [Diane, relatedName, Deanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deanna
Context triple: [Diane, relatedName, Deanna]
  • A. Deena
    Deena is a feminine given name, often considered a variant of Dina, used in various cultures.
  • B. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • C. Debra
    Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
  • D. Deanna Rose chosen
    Deanna Rose was a local figure in Overland Park, Kansas, whose memory is honored through the Deanna Rose Children’s Farmstead, a popular educational farm and family attraction.
  • E. Deena Jones
    Deena Jones is a central character in the musical and film "Dreamgirls," a member of the girl group modeled on The Supremes who rises to lead stardom amid personal and professional conflicts.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30a006081908996e31aa7ced0ac completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f9926ec8190bff8d01e3ab0d0da completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:16 p.m.