Triple

T12850499
Position Surface form Disambiguated ID Type / Status
Subject Green Mountain Boys E307302 entity
Predicate leader P981 FINISHED
Object Seth Warner E258132 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 Warner | Statement: [Green Mountain Boys, leader, Seth Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Warner
Context triple: [Green Mountain Boys, leader, Seth Warner]
  • A. Seth Warner chosen
    Seth Warner was an American Revolutionary War officer and leader of the Green Mountain Boys, noted for his role in northern frontier campaigns against the British.
  • B. Henry Shelton Sanford
    Henry Shelton Sanford was a 19th-century American diplomat, businessman, and land developer who founded the city of Sanford, Florida.
  • C. Jesse G. Vincent
    Jesse G. Vincent is a software developer best known for creating the RT issue tracking system and contributing extensively to open-source projects.
  • D. Martin Chittenden
    Martin Chittenden was an American politician who served as the seventh governor of Vermont and a member of the U.S. House of Representatives in the early 19th century.
  • E. Dewitt Peters
    Dewitt Peters was an American educator and art promoter best known for fostering and popularizing Haitian art in the mid-20th century.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba5059c81908be3b8b371518f41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.