Triple

T12555843
Position Surface form Disambiguated ID Type / Status
Subject Roger Nash Baldwin E295212 entity
Predicate spouse P13 FINISHED
Object Ruth Baldwin E295212 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: Ruth Baldwin | Statement: [Roger Nash Baldwin, spouse, Ruth Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Baldwin
Context triple: [Roger Nash Baldwin, spouse, Ruth Baldwin]
  • A. Ruth Baldwin
    Ruth Baldwin was the wife of American poet and diplomat Joel Barlow, known primarily through her marriage into his prominent literary and political life.
  • B. Ruth Baldwin chosen
    Ruth Baldwin was the wife of American civil liberties leader Roger Nash Baldwin and a figure associated with early 20th-century social reform circles.
  • C. Ruth Johnson
    Ruth Johnson was the first wife of famed comedian Groucho Marx, to whom he was married from 1920 to 1942.
  • D. Ruth Ellsworth
    Ruth Ellsworth is a composer known for creating the musical score for the game Crossfire.
  • E. Ruth Jamison
    Ruth Jamison is a central, compassionate character in the novel and film "Fried Green Tomatoes," known for her deep friendship with Idgie Threadgoode and her role in the story’s themes of love, resilience, and female solidarity.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95490d2708190857f0cb9b8dd6a30 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8be566c81908fba8e8caabbd93c completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 11:47 p.m.