Triple

T11745413
Position Surface form Disambiguated ID Type / Status
Subject Gotthold Ephraim Lessing E279266 entity
Predicate spouse P13 FINISHED
Object Eva König E279266 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: Eva König | Statement: [Gotthold Ephraim Lessing, spouse, Eva König]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva König
Context triple: [Gotthold Ephraim Lessing, spouse, Eva König]
  • A. Eva König chosen
    Eva König was the wife of German Enlightenment writer Gotthold Ephraim Lessing and is known primarily through her correspondence with him, which offers insight into his personal life and work.
  • B. Eva König
    Eva König is a relatively obscure individual whose name appears in records but for whom no widely known biographical or contextual information is readily available.
  • C. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • D. Eva Huber
    Eva Huber is a notable individual who shares the surname Huber, recognized enough to be specifically cited as a bearer of the name.
  • E. Eva Döhla
    Eva Döhla is a German local politician who serves as the mayor of the city of Hof in Bavaria.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0902f8c448190a71512353788ef09 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.