Triple

T7099472
Position Surface form Disambiguated ID Type / Status
Subject Nostrand E165416 entity
Predicate usedBy P260 FINISHED
Object George Nostrand E31118 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: George Nostrand | Statement: [Nostrand, usedBy, George Nostrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Nostrand
Context triple: [Nostrand, usedBy, George Nostrand]
  • A. George Nostrand chosen
    George Nostrand was a professional basketball player best known for participating in the first game in NBA history as a member of the Toronto Huskies.
  • B. Charles Rockwell Lanman
    Charles Rockwell Lanman was an American philologist and Harvard professor renowned for his pioneering work in Sanskrit and Indo-Iranian studies.
  • C. William H. Lippincott
    William H. Lippincott was a notable individual interred at Harleigh Cemetery, recognized for his regional prominence and historical significance.
  • D. James Lanman
    James Lanman was an American lawyer and politician who served as a United States Senator from Connecticut in the early 19th century.
  • E. Horace Howard Furness
    Horace Howard Furness was a prominent 19th-century American Shakespearean scholar and editor, best known for his variorum editions of Shakespeare's plays.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e58531c88190a32746f9a97da709 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca6236c81908a7051bd00d0ca90 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:42 p.m.