Triple

T17990979
Position Surface form Disambiguated ID Type / Status
Subject Gerda Lie Kaas E430369 entity
Predicate givenName P17 FINISHED
Object Gerda 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: Gerda | Statement: [Gerda Lie Kaas, givenName, Gerda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerda
Context triple: [Gerda Lie Kaas, givenName, Gerda]
  • A. Gerda chosen
    Gerda is the brave and devoted young heroine of Hans Christian Andersen’s fairy tale who embarks on a perilous journey to rescue her friend Kai from the Snow Queen.
  • B. Grete
    Grete is the given name of Grete Hermann, a German mathematician and philosopher known for her pioneering work in the foundations of quantum mechanics and computer algebra.
  • C. Gitte
    Gitte is a feminine given name commonly used in Scandinavian countries, particularly Denmark.
  • D. Gjertrud
    Gjertrud is a feminine given name of Germanic origin, most notably borne by the American poet Gjertrud Schnackenberg.
  • E. Astrid
    Astrid is a Scottish indie pop band known for their melodic guitar-driven sound and close ties to the Glasgow indie music scene.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.