Triple

T7137037
Position Surface form Disambiguated ID Type / Status
Subject Martinus Scriblerus E166330 entity
Predicate associatedWith P37 FINISHED
Object Tory wits E16790 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: Tory wits | Statement: [Martinus Scriblerus, associatedWith, Tory wits]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tory wits
Context triple: [Martinus Scriblerus, associatedWith, Tory wits]
  • A. Tory chosen
    Tory refers to a historical British political faction and later party associated with conservatism, monarchy, and traditional institutions, which evolved into the modern Conservative Party.
  • B. Norris
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • C. Torinisti
    Torinisti are the passionate supporters of the Italian football club Torino F.C., known for their strong loyalty and deep-rooted football culture.
  • D. Tawney
    Tawney is an English surname most notably associated with the influential economic historian and social critic R. H. Tawney.
  • E. Theresa
    Theresa is a feminine given name of Greek origin, commonly associated in modern times with figures such as former UK Prime Minister Theresa May.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6939b788190929e92ff481f2ee4 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad940bd88190abec876e2d2369bf completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:45 p.m.