Triple
T7462630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modo Hockey |
E176287
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Modo |
E666350
|
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: Modo | Statement: [Modo Hockey, nickname, Modo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modo Context triple: [Modo Hockey, nickname, Modo]
-
A.
Modo
chosen
Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
-
B.
Modo AIK
Modo AIK was the earlier name of the Swedish professional ice hockey club now known as Modo Hockey, based in Örnsköldsvik.
-
C.
Autodesk 3ds Max
Autodesk 3ds Max is a professional 3D modeling, animation, and rendering software widely used in game development, film, and architectural visualization.
-
D.
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.
-
E.
LightWave 3D
LightWave 3D is a professional 3D modeling, rendering, and animation software package widely used in film, television, and visual effects production.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c5bab90819093431470e0e8c0e3 |
completed | March 28, 2026, 8:38 p.m. |
Created at: March 27, 2026, 3:39 p.m.