Triple

T17598261
Position Surface form Disambiguated ID Type / Status
Subject Jean Reinhardt E428628 entity
Predicate hasNotableWork P4 FINISHED
Object Djangology NE NERFINISHED

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: Djangology | Statement: [Jean Reinhardt, hasNotableWork, Djangology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djangology
Context triple: [Jean Reinhardt, hasNotableWork, Djangology]
  • A. Drupal
    Drupal is a free, open-source content management framework used to build and manage complex websites and web applications.
  • B. Plone
    Plone is an open-source content management system built on the Zope application server, known for its strong security, flexibility, and enterprise-ready features.
  • C. Django
    Django is a 1966 Italian Spaghetti Western film directed by Sergio Corbucci and starring Franco Nero as a mysterious gunslinger, renowned for its gritty style and influential impact on the genre.
  • D. Django chosen
    "Django" is a celebrated jazz composition by pianist John Lewis, best known through performances by the Modern Jazz Quartet and regarded as one of their signature pieces.
  • E. Django
    Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design for building secure, scalable web applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.