Triple

T4415306
Position Surface form Disambiguated ID Type / Status
Subject Davy E94954 entity
Predicate relatedName P3889 FINISHED
Object Davie E104304 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: Davie | Statement: [Davy, relatedName, Davie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davie
Context triple: [Davy, relatedName, Davie]
  • A. Davie chosen
    Davie is a diminutive or affectionate form of the given name David, commonly used in English-speaking contexts.
  • B. Davie, Florida
    Davie, Florida is a suburban town in Broward County known for its western-themed architecture, equestrian lifestyle, and proximity to the Miami–Fort Lauderdale metropolitan area.
  • C. Ormond
    Ormond is a masculine given name of English origin that has been borne by various notable individuals.
  • D. Ormond
    Ormond is a historic cultural region in Ireland traditionally associated with the northern part of County Tipperary and the legacy of the Earls of Ormond.
  • E. Dade
    Dade is a surname most notably associated with U.S. Army Major Francis L. Dade, who was killed in the Second Seminole War and for whom several places in the United States were named.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354eabb2481908ad10d21e1379e7f completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.