Triple

T12584177
Position Surface form Disambiguated ID Type / Status
Subject Carl Ludvig Engel E300413 entity
Predicate familyName P18 FINISHED
Object Engel E385482 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: Engel | Statement: [Carl Ludvig Engel, familyName, Engel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engel
Context triple: [Carl Ludvig Engel, familyName, Engel]
  • A. Engel chosen
    Engel is a German-origin surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • B. Nitzschka
    Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
  • C. Meisel
    Meisel is a German-language surname borne by various notable individuals in fields such as music, academia, and public life.
  • D. Englehart
    Englehart is a small town located in the Timiskaming District of northeastern Ontario, Canada.
  • E. Gustchen
    Gustchen is a character from Jakob Michael Reinhold Lenz’s play "Der Hofmeister," known as one of its notable figures.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bac9708190ad8f277e7751bf5c completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebcfca8819083c26a3d5f94ccdf completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:04 p.m.