Triple

T853501
Position Surface form Disambiguated ID Type / Status
Subject Michael Bloomberg E18438 entity
Predicate spouse P13 FINISHED
Object Susan Brown (divorced)
Susan Brown is the former wife of American businessman and former New York City mayor Michael Bloomberg.
E99161 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: Susan Brown (divorced) | Statement: [Michael Bloomberg, spouse, Susan Brown (divorced)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Brown (divorced)
Context triple: [Michael Bloomberg, spouse, Susan Brown (divorced)]
  • A. Melinda Rogers
    Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
  • B. Lynnette Armstrong
    Lynnette Armstrong is a notable individual recognized for achievements significant enough to be associated with the surname Armstrong.
  • C. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • D. Susy Clemens
    Susy Clemens was the daughter of American author Mark Twain (Samuel Clemens), remembered for her intelligence, wit, and early death from meningitis.
  • E. Ann Schmeltz Bowers
    Ann Schmeltz Bowers is an American technology executive and philanthropist known for her early leadership roles at Intel and Apple and for her significant charitable contributions, particularly in education and technology.
  • 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: Susan Brown (divorced)
Triple: [Michael Bloomberg, spouse, Susan Brown (divorced)]
Generated description
Susan Brown is the former wife of American businessman and former New York City mayor Michael Bloomberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Brown (divorced)
Target entity description: Susan Brown is the former wife of American businessman and former New York City mayor Michael Bloomberg.
  • A. Melinda Rogers
    Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
  • B. Lynnette Armstrong
    Lynnette Armstrong is a notable individual recognized for achievements significant enough to be associated with the surname Armstrong.
  • C. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • D. Susy Clemens
    Susy Clemens was the daughter of American author Mark Twain (Samuel Clemens), remembered for her intelligence, wit, and early death from meningitis.
  • E. Ann Schmeltz Bowers
    Ann Schmeltz Bowers is an American technology executive and philanthropist known for her early leadership roles at Intel and Apple and for her significant charitable contributions, particularly in education and technology.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac389a44819093396a58d2afa700 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a79335d99c819098c72e7a86ad1130 completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a793c612d88190bce254142bd75f67 completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:39 p.m.