Triple

T13286809
Position Surface form Disambiguated ID Type / Status
Subject Abiel Abbot Low E316465 entity
Predicate child P120 FINISHED
Object Seth Low E589703 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: [Abiel Abbot Low, child, Seth Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Low
Context triple: [Abiel Abbot Low, child, Seth Low]
  • A. Seth Low chosen
    Seth Low was an American educator and politician who served as president of Columbia University and later as mayor of New York City.
  • B. Seth Low Pierrepont
    Seth Low Pierrepont was an American diplomat, businessman, and philanthropist from Connecticut whose land donations helped create public conservation areas.
  • C. Seth Low Sr.
    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.
  • D. Stilson Hutchins
    Stilson Hutchins was an American newspaper publisher best known as the founder of The Washington Post.
  • E. William S. Paterson
    William S. Paterson was a Canadian municipal politician who served as mayor of Burnaby, British Columbia.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990759ebc8190a9487a59e37a69e2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f20d7188190bb8643a7e17aba5c completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:27 p.m.