Triple

T7755811
Position Surface form Disambiguated ID Type / Status
Subject Boston Associates E175892 entity
Predicate keyMember P44793 FINISHED
Object Nathan Appleton E251402 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: Nathan Appleton | Statement: [Boston Associates, keyMember, Nathan Appleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Appleton
Context triple: [Boston Associates, keyMember, Nathan Appleton]
  • A. Nathan Appleton chosen
    Nathan Appleton was a prominent 19th-century American merchant, industrialist, and politician who played a key role in the early textile industry in New England.
  • B. John Davenport
    John Davenport was a prominent 17th-century English Puritan clergyman and co-founder of the New Haven Colony in New England.
  • C. Cyrus Pinkham
    Cyrus Pinkham was a local figure significant enough in New Hampshire’s history or community to have the mountain pass known as Pinkham Notch named in his honor.
  • D. Joseph Olivennes
    Joseph Olivennes is a child of British-French actress Kristin Scott Thomas and French obstetrician François Olivennes.
  • E. Elisha Phelps
    Elisha Phelps was an American lawyer, judge, and politician from Connecticut who served multiple terms in the U.S. House of Representatives in the early 19th 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d9d8fc8190b51faeb081ee425f completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6c06f54819096162e84180918ba completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:08 p.m.