Triple

T717978
Position Surface form Disambiguated ID Type / Status
Subject Alexis of Russia E14351 entity
Predicate givenName P17 FINISHED
Object Alexis E90901 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: Alexis | Statement: [Alexis of Russia, givenName, Alexis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexis
Context triple: [Alexis of Russia, givenName, Alexis]
  • A. Alexis chosen
    Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
  • B. Jean
    Jean is the given first name of Henry Dunant, the Swiss humanitarian who founded the Red Cross and received the first Nobel Peace Prize.
  • C. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • D. Sophia
    Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
  • E. Sophia Julian
    Sophia Julian was the wife of prominent American labor leader Samuel Gompers and a supportive figure in his personal and family life.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.