Triple

T3378334
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Sladen E71119 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: [Elisabeth Sladen, givenName, Elisabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabeth
Context triple: [Elisabeth Sladen, 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. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3739a043c8190b5da4bd14e278fcb completed March 13, 2026, 2:16 a.m.
Created at: March 8, 2026, 3:14 p.m.