Triple

T731477
Position Surface form Disambiguated ID Type / Status
Subject MacKenzie Scott E14839 entity
Predicate familyName P18 FINISHED
Object Scott
Scott is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
 E16784 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: Scott | Statement: [MacKenzie Scott, familyName, Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scott
Context triple: [MacKenzie Scott, familyName, Scott]
  • A. Scott
    Scott is the middle name of Francis Scott Key, the American lawyer and poet who wrote the lyrics to the United States national anthem, "The Star-Spangled Banner."
  • B. Kay
    Kay is a common diminutive or nickname for the given name Catherine.
  • C. Douglas
    Douglas is the capital and largest town of the Isle of Man, serving as its main commercial center and principal ferry port.
  • D. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • E. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • 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: Scott
Triple: [MacKenzie Scott, familyName, Scott]
Generated description
Scott is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scott
Target entity description: Scott is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • A. Scott chosen
    Scott is the middle name of Francis Scott Key, the American lawyer and poet who wrote the lyrics to the United States national anthem, "The Star-Spangled Banner."
  • B. Kay
    Kay is a common diminutive or nickname for the given name Catherine.
  • C. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • D. Douglas
    Douglas is the capital and largest town of the Isle of Man, serving as its main commercial center and principal ferry port.
  • E. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • F. None of above.

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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c40b6481909db9efd7310850b3 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375fd8388190bb4a13bf4b151bfd completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63814e01081909304d6f01374e5a0 completed March 3, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69a638b43e748190a809b089c35ab1c9 completed March 3, 2026, 1:26 a.m.
Created at: March 1, 2026, 7:37 p.m.