Triple

T705680
Position Surface form Disambiguated ID Type / Status
Subject Eugene McDermott E14093 entity
Predicate familyName P18 FINISHED
Object McDermott
McDermott is a surname of Irish origin borne by numerous notable individuals across fields such as business, politics, sports, and the arts.
E86619 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: McDermott | Statement: [Eugene McDermott, familyName, McDermott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McDermott
Context triple: [Eugene McDermott, familyName, McDermott]
  • A. 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.
  • B. 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.
  • C. MacDouglas
    MacDouglas is a Scottish surname variant of Douglas, traditionally associated with clans and families of Scottish heritage.
  • D. Dempsey
    Dempsey is a surname most notably associated with British Army General Sir Miles Dempsey, a senior commander in World War II.
  • E. Mulally
    Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
  • 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: McDermott
Triple: [Eugene McDermott, familyName, McDermott]
Generated description
McDermott is a surname of Irish origin borne by numerous notable individuals across fields such as business, politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: McDermott
Target entity description: McDermott is a surname of Irish origin borne by numerous notable individuals across fields such as business, politics, sports, and the arts.
  • A. 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.
  • B. 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.
  • C. MacDouglas
    MacDouglas is a Scottish surname variant of Douglas, traditionally associated with clans and families of Scottish heritage.
  • D. Dempsey
    Dempsey is a surname most notably associated with British Army General Sir Miles Dempsey, a senior commander in World War II.
  • E. Mulally
    Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a54607f08190b3ee4805f2ea4b2f completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63755d1f081909f214ab8d497f096 completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63af75b1881908fa959febc48775e completed March 3, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69a63b60e96c8190b4f13bd7076af38a completed March 3, 2026, 1:37 a.m.
Created at: March 1, 2026, 7:36 p.m.