Triple

T14660902
Position Surface form Disambiguated ID Type / Status
Subject Joaquin E344233 entity
Predicate hasCognate P2525 FINISHED
Object Joachim E69939 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: Joachim | Statement: [Joaquin, hasCognate, Joachim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joachim
Context triple: [Joaquin, hasCognate, Joachim]
  • A. Joachim chosen
    Joachim is a masculine given name of Hebrew origin, commonly used in German-speaking and other European countries.
  • B. Joachim
    Joachim is a track featured in the rhythm-based game Parabola.
  • C. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • D. Joachim von Kortzfleisch
    Joachim von Kortzfleisch was a German Wehrmacht general during World War II, known for his role in the suppression of the 20 July 1944 plot against Adolf Hitler.
  • E. Reimund
    Reimund is a masculine given name, primarily used in German-speaking regions, that is a variant of the name Raymond.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51c84448190a1f5fa9ab8a1e2c4 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e28f848190a3d686bc11336601 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.