Triple

T14758899
Position Surface form Disambiguated ID Type / Status
Subject Charles Sumner Tainter E346803 entity
Predicate fullName P16 FINISHED
Object Charles Sumner Tainter E346803 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: Charles Sumner Tainter | Statement: [Charles Sumner Tainter, fullName, Charles Sumner Tainter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Sumner Tainter
Context triple: [Charles Sumner Tainter, fullName, Charles Sumner Tainter]
  • A. Charles Sumner Tainter chosen
    Charles Sumner Tainter was an American inventor and scientist best known for his pioneering work in sound and communication technologies during the late 19th century.
  • B. Thomas T. Moulton
    Thomas T. Moulton was an American sound engineer and multiple Academy Award winner known for his influential work on classic Hollywood films.
  • C. William E. Thornton
    William E. Thornton was an American physician, engineer, and NASA astronaut known for pioneering space medicine research and flying on two Space Shuttle missions.
  • D. Nathaniel P. Davis
    Nathaniel P. Davis was an American diplomat who served as the United States Ambassador to Hungary.
  • E. Greely S. Curtis
    Greely S. Curtis was a Union Army officer and notable cavalry leader from Massachusetts during the American Civil War.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d92c9788190aa4523a1e47bc561 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 1:30 a.m.