Triple

T9260784
Position Surface form Disambiguated ID Type / Status
Subject Emil H. Praeger E222571 entity
Predicate familyName P18 FINISHED
Object Praeger E537036 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: Praeger | Statement: [Emil H. Praeger, familyName, Praeger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praeger
Context triple: [Emil H. Praeger, familyName, Praeger]
  • A. Praeger chosen
    Praeger is a surname of Irish origin borne by various notable individuals and families.
  • B. M. E. Sharpe
    M. E. Sharpe is an academic publishing company known for its scholarly books and journals in the social sciences and humanities.
  • C. Westview Press
    Westview Press is an academic publishing imprint known for producing scholarly and educational books, particularly in the social sciences and humanities.
  • D. University Press of America
    University Press of America is an academic publishing imprint known for producing scholarly and educational books across a wide range of disciplines.
  • E. Van Nostrand
    Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07175be881908a917573ec9b9081 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bfb7dfc8190bc337a54083e0dd9 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.