Triple

T125420
Position Surface form Disambiguated ID Type / Status
Subject Wheaton Reports E2536 entity
Predicate namedAfter P63 FINISHED
Object Henry Wheaton E78025 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: Henry Wheaton | Statement: [Wheaton Reports, namedAfter, Henry Wheaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Wheaton
Context triple: [Wheaton Reports, namedAfter, Henry Wheaton]
  • A. Henry Wheaton chosen
    Henry Wheaton was a 19th-century American jurist, diplomat, and pioneering scholar of international law whose writings significantly shaped the field.
  • B. George Burroughs
    George Burroughs was a Puritan minister in colonial New England who was infamously executed for alleged witchcraft during the Salem witch trials.
  • C. Marinus Willett
    Marinus Willett was an American Revolutionary War officer and political leader from New York, known for his active role in colonial resistance and later service as mayor of New York City.
  • D. Samuel Gray
    Samuel Gray was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel American revolutionary sentiment.
  • E. Jacob Bigelow
    Jacob Bigelow was a 19th-century American physician, botanist, and architect known for pioneering the rural cemetery movement and promoting practical science and public health.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573e4e6481908252dfef2e34f46e completed Feb. 28, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69a566fab12081909a793dedc8110009 completed March 2, 2026, 10:31 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.