Triple

T3828695
Position Surface form Disambiguated ID Type / Status
Subject Federal Farmer E88754 entity
Predicate possibleRealIdentity P9236 FINISHED
Object Melancton Smith E161073 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: Melancton Smith | Statement: [Federal Farmer, possibleRealIdentity, Melancton Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melancton Smith
Context triple: [Federal Farmer, possibleRealIdentity, Melancton Smith]
  • A. Melancton Smith chosen
    Melancton Smith was an American lawyer and politician from New York who became a leading voice against ratification of the U.S. Constitution, arguing for stronger protections of individual and states’ rights.
  • B. Benjamin Woodward
    Benjamin Woodward was a 19th-century Irish architect known for his influential Gothic Revival designs and his role in the firm Deane and Woodward.
  • C. Elihu Hodgkin
    Elihu Hodgkin is a historical figure after whom Hodgkin lymphoma, a type of cancer of the lymphatic system, is named.
  • D. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • E. Amos G. Throop
    Amos G. Throop was an American educator and philanthropist whose early vocational school in Pasadena evolved into the California Institute of Technology.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef90ce3088190b82e8421ce9a4005 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c2db6a481909ebc822a1d3f831f completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:17 p.m.