Triple

T16182558
Position Surface form Disambiguated ID Type / Status
Subject Mircea Dinescu E392720 entity
Predicate givenName P17 FINISHED
Object Mircea E1146534 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: Mircea | Statement: [Mircea Dinescu, givenName, Mircea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mircea
Context triple: [Mircea Dinescu, givenName, Mircea]
  • A. Mircea chosen
    Mircea is a Romanian Navy tall training ship, a three-masted barque built in the 1930s and used for the instruction of naval cadets.
  • B. Mircea the Elder
    Mircea the Elder was a late 14th- and early 15th-century voivode of Wallachia known for strengthening the principality, resisting Ottoman expansion, and consolidating political and economic power in the region.
  • C. Mihai
    Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
  • D. Alexandru
    Alexandru is a masculine given name of Greek origin, commonly used in Eastern Europe and derived from the name Alexander.
  • E. Neagoe
    Neagoe is a Romanian given name most notably borne by Neagoe Basarab, a 16th-century ruler of Wallachia.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff03400481908e66db8cf0213c15 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.