Triple

T10634541
Position Surface form Disambiguated ID Type / Status
Subject Ruth Fulton E250544 entity
Predicate spouse P13 FINISHED
Object Stanley Rossiter Benedict E106540 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: Stanley Rossiter Benedict | Statement: [Ruth Fulton, spouse, Stanley Rossiter Benedict]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Rossiter Benedict
Context triple: [Ruth Fulton, spouse, Stanley Rossiter Benedict]
  • A. Stanley Rossiter Benedict chosen
    Stanley Rossiter Benedict was an American chemist best known for developing Benedict's reagent, a solution used to test for the presence of reducing sugars.
  • B. Francis Vernon Douglas
    Francis Vernon Douglas was a New Zealand Catholic priest and missionary who was martyred in the Philippines during World War II and later honored for his faith and sacrifice.
  • C. Walter Percy Gardiner
    Walter Percy Gardiner was a British army officer and the father of Princess Muna al-Hussein, the mother of King Abdullah II of Jordan.
  • D. Laurence Bell
    Laurence Bell is a British music industry executive best known as the founder of the influential independent label Domino Recording Company.
  • E. Barnard Hughes
    Barnard Hughes was an American character actor known for his work in film, television, and theater, often playing kindly or eccentric older men.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfab47bc819086684edc1b6dce74 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:03 p.m.