Triple

T14712133
Position Surface form Disambiguated ID Type / Status
Subject Lucan the Butler E345573 entity
Predicate name P16 FINISHED
Object Lucan the Butler E345573 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: Lucan the Butler | Statement: [Lucan the Butler, name, Lucan the Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucan the Butler
Context triple: [Lucan the Butler, name, Lucan the Butler]
  • A. Lucan the Butler chosen
    Lucan the Butler is a knight of the Round Table in Arthurian legend, known for his loyalty and service to King Arthur.
  • B. Gulley Jimson
    Gulley Jimson is a disreputable, obsessive, and eccentric aging painter who serves as the roguish antihero of Joyce Cary’s comic novel "The Horse’s Mouth."
  • C. Mr. Furnival
    Mr. Furnival is a prominent London barrister in Anthony Trollope’s novel "Orley Farm," known for his legal skill, social ambition, and complex personal life.
  • D. Bartholomew Green
    Bartholomew Green was a prominent early 18th-century Boston printer and publisher known for producing influential colonial American works.
  • E. Felton
    Felton is a party involved in the landmark U.S. Supreme Court case Agostini v. Felton, which addressed the constitutionality of public school teachers providing remedial education in religious schools.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.