Triple

T4325331
Position Surface form Disambiguated ID Type / Status
Subject Jinja2 E96622 entity
Predicate creator P184 FINISHED
Object Armin Ronacher E96620 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: Armin Ronacher | Statement: [Jinja2, creator, Armin Ronacher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armin Ronacher
Context triple: [Jinja2, creator, Armin Ronacher]
  • A. Armin Ronacher chosen
    Armin Ronacher is a software developer and open-source contributor best known for creating the Flask web framework and his work in the Python ecosystem.
  • B. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • C. Christoph Riggenbach
    Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
  • D. Markus Huber
    Markus Huber is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Huber.
  • E. Peter von Aspelt
    Peter von Aspelt was a prominent early 14th-century Archbishop of Mainz and influential statesman who played a key role in the politics of the Holy Roman Empire, including the election of multiple German kings.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3512ec18481908a7b5c29b3902b53 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db98ae888190aac5b5b7839ae7dd completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:13 p.m.