Triple
T13348864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rey Mysterio |
E318021
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | LWO |
E220498
|
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: LWO | Statement: [Rey Mysterio, memberOf, LWO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LWO Context triple: [Rey Mysterio, memberOf, LWO]
-
A.
Collada
Collada is an open standard XML-based file format used for exchanging 3D assets such as models, animations, and scenes between different graphics and game development tools.
-
B.
FBX
FBX is a widely used 3D asset exchange file format that supports complex geometry, materials, animation, and scene data across various graphics and game development applications.
-
C.
Modo
Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
-
D.
LightWave 3D
chosen
LightWave 3D is a professional 3D modeling, rendering, and animation software package widely used in film, television, and visual effects production.
-
E.
Parasolid
Parasolid is a widely used geometric modeling kernel developed by Siemens that underpins 3D CAD, CAM, and CAE applications by providing robust solid and surface modeling capabilities.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f45c9788190b60095c0d6e2f763 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.