Triple

T8052354
Position Surface form Disambiguated ID Type / Status
Subject Ruth Livingston Mills E187705 entity
Predicate spouse P13 FINISHED
Object Ogden Mills E55290 NE FINISHED

How this triple was built (2 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: Ogden Mills | Statement: [Ruth Livingston Mills, spouse, Ogden Mills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogden Mills
Context triple: [Ruth Livingston Mills, spouse, Ogden Mills]
  • A. Ogden Mills chosen
    Ogden Mills was a prominent American financier and philanthropist of the late 19th and early 20th centuries, known as a member of the wealthy Mills family of New York.
  • B. Ballston Center
    Ballston Center is an urban academic facility of Marymount University located in Arlington, Virginia, housing classrooms, offices, and specialized programs.
  • C. Metfield
    Metfield is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • D. Lindon
    Lindon is a French surname most notably borne by acclaimed actor Vincent Lindon.
  • E. Minnetonka
    Minnetonka is a suburban city in the Minneapolis–Saint Paul metropolitan area of Minnesota, known for its residential communities and proximity to Lake Minnetonka.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7aab6481909d4a7cb9eabcd2af completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc572058048190996fa77774bf44ba completed March 31, 2026, 11:22 p.m.
Created at: March 30, 2026, 5:24 p.m.