Triple
T10994365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collective Soul |
E259823
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Blender
Blender is a song by the American rock band Collective Soul.
|
E898668
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Collective Soul, hasPart, Blender]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blender Context triple: [Collective Soul, hasPart, Blender]
-
A.
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.
-
B.
Modo
Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
-
C.
Autodesk Maya
Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
-
D.
NVIDIA Omniverse
NVIDIA Omniverse is a real-time 3D simulation and collaboration platform that enables creators, engineers, and enterprises to build and connect physically accurate virtual worlds.
-
E.
Adobe Substance 3D
Adobe Substance 3D is a suite of tools for creating, texturing, and rendering 3D assets, widely used in game development, visual effects, and design workflows.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blender Triple: [Collective Soul, hasPart, Blender]
Generated description
Blender is a song by the American rock band Collective Soul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blender Target entity description: Blender is a song by the American rock band Collective Soul.
-
A.
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.
-
B.
Modo
Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
-
C.
Autodesk Maya
Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
-
D.
NVIDIA Omniverse
NVIDIA Omniverse is a real-time 3D simulation and collaboration platform that enables creators, engineers, and enterprises to build and connect physically accurate virtual worlds.
-
E.
Adobe Substance 3D
Adobe Substance 3D is a suite of tools for creating, texturing, and rendering 3D assets, widely used in game development, visual effects, and design workflows.
- F. None of above. chosen
Provenance (5 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d460d88190bff918d6dfdb0f93 |
completed | April 9, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3451451988190add2762b1e1be8ed |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e3556fd3548190a33f04604be947cf |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3593b0f8481909ed7a90f8bb9839d |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:24 p.m.