Triple

T4108277
Position Surface form Disambiguated ID Type / Status
Subject Davis E88506 entity
Predicate hasGivenNameForm P15846 FINISHED
Object Davis (given name)
Davis is a masculine given name of English origin, often considered a variant of David and used both as a first name and a surname.
 E413989 NE FINISHED

How this triple was built (4 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: Davis (given name) | Statement: [Davis, hasGivenNameForm, Davis (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Davis (given name)
Context triple: [Davis, hasGivenNameForm, Davis (given name)]
  • A. Frank Davis
    Frank Davis was an American screenwriter best known for co-writing the acclaimed film adaptation of "A Tree Grows in Brooklyn" (1945).
  • B. Nathan Smith Davis
    Nathan Smith Davis was a 19th-century American physician and medical reformer best known as a principal founder and early leader of the American Medical Association.
  • C. Dane
    A Dane is a person from Denmark, typically associated with Danish nationality, culture, and language.
  • D. Nick Davis
    Nick Davis is an American documentary filmmaker and author known for exploring cultural and historical subjects, including works related to his prominent Mankiewicz family heritage.
  • E. Everette
    Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Davis (given name)
Triple: [Davis, hasGivenNameForm, Davis (given name)]
Generated description
Davis is a masculine given name of English origin, often considered a variant of David and used both as a first name and a surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Davis (given name)
Target entity description: Davis is a masculine given name of English origin, often considered a variant of David and used both as a first name and a surname.
  • A. Frank Davis
    Frank Davis was an American screenwriter best known for co-writing the acclaimed film adaptation of "A Tree Grows in Brooklyn" (1945).
  • B. Nathan Smith Davis
    Nathan Smith Davis was a 19th-century American physician and medical reformer best known as a principal founder and early leader of the American Medical Association.
  • C. Dane
    A Dane is a person from Denmark, typically associated with Danish nationality, culture, and language.
  • D. Nick Davis
    Nick Davis is an American documentary filmmaker and author known for exploring cultural and historical subjects, including works related to his prominent Mankiewicz family heritage.
  • E. Everette
    Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • F. None of above. chosen

Provenance (5 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019e23c481909578eba1c9270282 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8240248190afd026a450958d4c completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56cbf12348190836f79e509468a3d completed March 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69b570aef9008190bf8ef2deb00178ae completed March 14, 2026, 2:29 p.m.
Created at: March 9, 2026, 3:40 p.m.