Triple

T658221
Position Surface form Disambiguated ID Type / Status
Subject Dorothy McGuire E11695 entity
Predicate familyName P18 FINISHED
Object McGuire
McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
E82503 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: McGuire | Statement: [Dorothy McGuire, familyName, McGuire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McGuire
Context triple: [Dorothy McGuire, familyName, McGuire]
  • A. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • B. Callahan
    Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
  • C. Mitchell
    Mitchell Kapor is an American entrepreneur and software designer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet program.
  • D. Mitchell
    Mitchell is a common English-language surname of Scottish and English origin, borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • E. McFeely
    McFeely is the middle name of beloved American children's television host Fred Rogers, famously known as Mister Rogers.
  • 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: McGuire
Triple: [Dorothy McGuire, familyName, McGuire]
Generated description
McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: McGuire
Target entity description: McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
  • A. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • B. Callahan
    Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
  • C. Mitchell
    Mitchell Kapor is an American entrepreneur and software designer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet program.
  • D. Mitchell
    Mitchell is a common English-language surname of Scottish and English origin, borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • E. McFeely
    McFeely is the middle name of beloved American children's television host Fred Rogers, famously known as Mister Rogers.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39453208190928b61ad090e7e23 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4ef88388190b9746f599cf88a35 completed March 2, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce75386081909d780586dcdf0e5a completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.