Triple

T5845367
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Henrietta of Hesse-Kassel E129695 entity
Predicate givenName P17 FINISHED
Object Elisabeth 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: Elisabeth | Statement: [Elizabeth Henrietta of Hesse-Kassel, givenName, Elisabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabeth
Context triple: [Elizabeth Henrietta of Hesse-Kassel, givenName, Elisabeth]
  • A. Elisabeth chosen
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • B. Elisabeth
    Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
  • C. Louise of Great Britain
    Louise of Great Britain was a British princess who became Queen of Denmark and Norway through her marriage to King Frederick V.
  • D. Mary Adelaide
    Mary Adelaide was a British princess of the House of Hanover, mother of Queen Mary and grandmother of King George VI and great-grandmother of Queen Elizabeth II.
  • E. Elisabeth Huberta
    Elisabeth Huberta is a Dutch woman best known as a member of the van Gogh family, related to the famous painter Vincent van Gogh.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034dcafe88190a438034a539ffa52 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfce88f88190bbc78ce9c7c3c107 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:55 p.m.