Triple

T8823001
Position Surface form Disambiguated ID Type / Status
Subject Blender E209950 entity
Predicate developer P73 FINISHED
Object Blender Institute E758279 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: Blender Institute | Statement: [Blender, developer, Blender Institute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blender Institute
Context triple: [Blender, developer, Blender Institute]
  • A. Blender Foundation chosen
    The Blender Foundation is a non-profit organization that oversees the development and promotion of the open-source 3D creation suite Blender and supports its user and developer community.
  • B. Blender
    Blender is a free and open-source 3D creation suite widely used for modeling, animation, rendering, and visual effects in film, games, and design.
  • C. Weta Digital
    Weta Digital is a renowned New Zealand-based visual effects studio best known for its groundbreaking CGI work on major films such as The Lord of the Rings trilogy, Avatar, and the Planet of the Apes series.
  • D. Scanline VFX
    Scanline VFX is a visual effects studio renowned for its cutting-edge digital effects work on major film and television productions.
  • E. Cinesite
    Cinesite is a visual effects and animation studio known for producing and contributing to major feature films and animated projects.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6030b25081909d67488b35a72e05 completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf893e08b0819083c2d152d0f9c263 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:46 p.m.