Triple

T21154287
Position Surface form Disambiguated ID Type / Status
Subject Paiute War E521271 entity
Predicate notableCommander P1197 FINISHED
Object Frederick W. Lander NE NERFINISHED

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: Frederick W. Lander | Statement: [Paiute War, notableCommander, Frederick W. Lander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederick W. Lander
Context triple: [Paiute War, notableCommander, Frederick W. Lander]
  • A. Frederick W. Lander chosen
    Frederick W. Lander was a 19th-century American civil engineer and explorer best known for surveying and constructing overland wagon routes to the western United States.
  • B. Frank P. Keller
    Frank P. Keller is a film editor best known for his Academy Award-winning work on the 1968 action film "Bullitt."
  • C. Douglas J. Foskett
    Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
  • D. Gary B. Kibbe
    Gary B. Kibbe was an American cinematographer best known for his frequent collaborations with director John Carpenter on several of his later films.
  • E. Robert B. Goergen
    Robert B. Goergen is an American businessman, philanthropist, and University of Rochester alumnus known for his significant contributions to the university and support of athletics and education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252a48788190bfdfe811fc6cfc06 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:58 p.m.