Triple

T21735373
Position Surface form Disambiguated ID Type / Status
Subject Chinx E536508 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: [Chinx, givenName, Lionel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel
Context triple: [Chinx, 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0b0da0819098ef03360eea6a0d completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.