Triple

T5495473
Position Surface form Disambiguated ID Type / Status
Subject Margaret Sanger E144200 entity
Predicate familyName P18 FINISHED
Object Sanger E116659 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: Sanger | Statement: [Margaret Sanger, familyName, Sanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanger
Context triple: [Margaret Sanger, familyName, Sanger]
  • A. Sanger chosen
    Sanger is a small city in California’s San Joaquin Valley known for its agricultural economy and proximity to Fresno.
  • B. William Cary Sanger
    William Cary Sanger was an American lawyer and politician who served in the early 20th century U.S. War Department and was involved in military and governmental affairs.
  • C. Edman
    Edman is a masculine given name most notably borne by Edman Spangler, a carpenter implicated in the conspiracy surrounding U.S. President Abraham Lincoln’s assassination.
  • D. Wilkins
    Wilkins is a surname most notably associated with Roy Wilkins, a prominent American civil rights leader and longtime NAACP executive director.
  • E. Walter Gilbert
    Walter Gilbert is an American molecular biologist and Nobel laureate renowned for his pioneering work in DNA sequencing and gene regulation.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b8c05ac8190999f84c33719d794 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027887dc48190be1761b17481e106 completed March 22, 2026, 5:31 p.m.
Created at: March 22, 2026, 3:31 p.m.