Triple

T12841106
Position Surface form Disambiguated ID Type / Status
Subject Rudolph Giuliani E307052 entity
Predicate spouse P13 FINISHED
Object Judith Nathan E310627 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: Judith Nathan | Statement: [Rudolph Giuliani, spouse, Judith Nathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judith Nathan
Context triple: [Rudolph Giuliani, spouse, Judith Nathan]
  • A. Judith Nathan chosen
    Judith Nathan is an American former nurse and political figure best known as the third wife of former New York City mayor Rudy Giuliani.
  • B. Judith Tuvim
    Judith Tuvim, better known as Judy Holliday, was an American actress and comedian acclaimed for her Academy Award–winning performance in the film "Born Yesterday."
  • C. Judith Herzberg
    Judith Herzberg is a Dutch poet, playwright, and essayist renowned for her clear, understated style and influential contributions to contemporary Dutch literature.
  • D. Judith Rosenman
    Judith Rosenman is known as the wife of Academy Award–winning American film and television composer Leonard Rosenman.
  • E. Judith Perle
    Judith Perle is a central character in Ellis Peters’ medieval mystery novel "The Rose Rent," known as a wealthy young widow whose charitable yet fateful donation to the abbey drives the story’s intrigue.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff2ab60819085561a3120189985 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c962f08190af7dee663a1d2319 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:35 p.m.