Triple

T12509331
Position Surface form Disambiguated ID Type / Status
Subject Dariusleut E299032 entity
Predicate sharesOriginWith P3438 FINISHED
Object Lehrerleut E299033 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: Lehrerleut | Statement: [Dariusleut, sharesOriginWith, Lehrerleut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lehrerleut
Context triple: [Dariusleut, sharesOriginWith, Lehrerleut]
  • A. Lehrerleut chosen
    Lehrerleut is one of the main branches of the Hutterite Anabaptist communities, known for its communal lifestyle and conservative religious practices.
  • B. Lehrer
    Lehrer is a surname most prominently associated with Jim Lehrer, the American journalist and longtime anchor of PBS NewsHour.
  • C. The Teacher
    The Teacher is the enigmatic and manipulative leader of the secretive religious sect in "The Da Vinci Code," commanding intense loyalty from followers like Silas.
  • D. Leermens
    Leermens is a small village in the province of Groningen in the northern Netherlands.
  • E. Teuchern
    Teuchern is a small town and municipality in the German state of Saxony-Anhalt, known for its rural character and location in the historical region of southern Saxony-Anhalt.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541c1ca08190a4026c394ebcbeb5 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb94d608190aae4c8ec39556362 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.