Triple

T2426549
Position Surface form Disambiguated ID Type / Status
Subject Leonard E53541 entity
Predicate derivedFrom P909 FINISHED
Object Leonhard E63113 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: Leonhard | Statement: [Leonard, derivedFrom, Leonhard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonhard
Context triple: [Leonard, derivedFrom, Leonhard]
  • A. Leonhard chosen
    Leonhard is a masculine given name most famously borne by the prolific 18th-century Swiss mathematician and physicist Leonhard Euler.
  • B. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • E. Nikolaus
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0a5fc208190a2479de4b1344759 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:42 p.m.