Triple

T20101333
Position Surface form Disambiguated ID Type / Status
Subject Lionel Wilson E496547 entity
Predicate givenName P17 FINISHED
Object Lionel 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: Lionel | Statement: [Lionel Wilson, givenName, Lionel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel
Context triple: [Lionel Wilson, givenName, Lionel]
  • A. Lionel
    Lionel is the given name of Lionel Logue, the Australian speech therapist renowned for helping King George VI overcome his stammer.
  • B. Lionel
    Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
  • C. Lionel
    Lionel is a knight of the Round Table in Arthurian legend, known as the son of King Ban of Benwick and the cousin of Sir Lancelot.
  • D. Lionel chosen
    Lionel is a masculine given name of Latin origin, commonly used in English- and French-speaking countries.
  • E. Leo the Lion
    Leo the Lion is the costumed lion mascot representing Purdue University Northwest’s athletic teams and school spirit.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.