Triple

T12016495
Position Surface form Disambiguated ID Type / Status
Subject Henry Miller Shreve E286038 entity
Predicate fullName P16 FINISHED
Object Henry Miller Shreve E286038 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 Miller Shreve | Statement: [Henry Miller Shreve, fullName, Henry Miller Shreve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henry Miller Shreve
Context triple: [Henry Miller Shreve, fullName, Henry Miller Shreve]
  • A. Henry Miller Shreve chosen
    Henry Miller Shreve was a 19th-century American steamboat captain and engineer renowned for pioneering river navigation improvements on the Mississippi and Red Rivers.
  • B. Henry Wells
    Henry Wells was a 19th-century American businessman and express pioneer who co-founded both American Express and Wells Fargo.
  • C. Matthew Davenport Hill
    Matthew Davenport Hill was a 19th-century English lawyer, penologist, and social reformer known for his influential work on criminal justice and prison reform.
  • D. Samuel Shellabarger
    Samuel Shellabarger was an American novelist and historian best known for his popular mid-20th-century historical adventure novels.
  • E. Hugo Barnstead
    Hugo Barnstead is a central character in the 1941 romantic comedy film "The Strawberry Blonde," portrayed as a brash, ambitious rival to the more easygoing protagonist.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d9b17881908894be80d7c1b64e completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b53cd08819084a9335449844f12 completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:47 p.m.