Triple

T8644819
Position Surface form Disambiguated ID Type / Status
Subject Alexandru Ioan Cuza E204747 entity
Predicate givenName P17 FINISHED
Object Alexandru E250321 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: Alexandru | Statement: [Alexandru Ioan Cuza, givenName, Alexandru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandru
Context triple: [Alexandru Ioan Cuza, givenName, Alexandru]
  • A. Alexandru chosen
    Alexandru is a masculine given name of Greek origin, commonly used in Eastern Europe and derived from the name Alexander.
  • B. Vasile
    Vasile is a masculine given name, primarily used in Romania and Moldova, derived from the Greek name Basil (Basileios), meaning "kingly" or "royal."
  • C. Timotei
    Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
  • D. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • E. Mihai
    Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc479999c881908c0c4e01c07d02d4 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc42922c819099a464d2e347dec4 completed April 2, 2026, 6:58 p.m.
Created at: March 30, 2026, 6:28 p.m.