Triple

T2075992
Position Surface form Disambiguated ID Type / Status
Subject Elsa E44923 entity
Predicate isShortFormOf P2351 FINISHED
Object Elisabet E113408 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: Elisabet | Statement: [Elsa, isShortFormOf, Elisabet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabet
Context triple: [Elsa, isShortFormOf, Elisabet]
  • A. Elisabeth chosen
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • B. Elisabeta
    Elisabeta is a given name used in various European languages, corresponding to the English name Elizabeth.
  • C. Maria Christina
    Maria Christina, known as Princess Christina of the Netherlands, was a Dutch royal and youngest daughter of Queen Juliana and Prince Bernhard who became known for her work as a singer and music educator.
  • D. Louise of Sweden
    Louise of Sweden was a Swedish-born princess who became Queen of Denmark as the wife of King Frederick VIII and the mother of King Haakon VII of Norway.
  • E. Luise
    Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba127dcc81909c2365d455eeb746 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95efea5c8190a8a63e36cf3247e7 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:41 p.m.