Triple

T2985227
Position Surface form Disambiguated ID Type / Status
Subject Low family E80608 entity
Predicate member P10 FINISHED
Object Seth Low E277202 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: Seth Low | Statement: [Low family, member, Seth Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Low
Context triple: [Low family, member, Seth Low]
  • A. Seth Low Sr. chosen
    Seth Low Sr. was a prominent 19th-century New York merchant and philanthropist whose legacy includes having Columbia University's Low Memorial Library named in his honor.
  • B. Stilson Hutchins
    Stilson Hutchins was an American newspaper publisher best known as the founder of The Washington Post.
  • C. John Swope
    John Swope was an American photographer and aviator known for his work documenting World War II and Hollywood, and for being married to actress Dorothy McGuire.
  • D. George B. Cortelyou
    George B. Cortelyou was an American public official who served in multiple cabinet positions under President Theodore Roosevelt, including as the first head of the Department of Commerce and Labor and later as Secretary of the Treasury.
  • E. Morris K. Jesup
    Morris K. Jesup was a prominent American banker and philanthropist known for his major contributions to science, education, and cultural institutions in the late 19th and early 20th centuries.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c65ad0819087bb4ae92ab0dc55 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f8b2b08190904cf89befe656dd completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.