Triple
T9187653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LightWave 3D |
E220498
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object |
LScript
LScript is a scripting language used to automate tasks and extend functionality within the LightWave 3D computer graphics and animation software.
|
E784413
|
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: LScript | Statement: [LightWave 3D, supportsLanguage, LScript]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LScript Context triple: [LightWave 3D, supportsLanguage, LScript]
-
A.
Locoscript
Locoscript is a word processing program best known for being the primary office and writing software bundled with Amstrad’s PCW series of personal computers in the 1980s.
-
B.
LSL
LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
-
C.
BrainScript
BrainScript is a domain-specific scripting language developed for defining and training neural networks within the Microsoft Cognitive Toolkit (CNTK).
-
D.
LUA
LUA is the IATA airport code for Tenzing-Hillary Airport, the small but famous gateway to Nepal’s Everest region.
-
E.
NewtonScript
NewtonScript is an object-oriented, prototype-based programming language developed by Apple for its Newton PDA platform, designed for ease of use in pen-based and mobile applications.
- 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: LScript Triple: [LightWave 3D, supportsLanguage, LScript]
Generated description
LScript is a scripting language used to automate tasks and extend functionality within the LightWave 3D computer graphics and animation software.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LScript Target entity description: LScript is a scripting language used to automate tasks and extend functionality within the LightWave 3D computer graphics and animation software.
-
A.
Locoscript
Locoscript is a word processing program best known for being the primary office and writing software bundled with Amstrad’s PCW series of personal computers in the 1980s.
-
B.
LSL
LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
-
C.
BrainScript
BrainScript is a domain-specific scripting language developed for defining and training neural networks within the Microsoft Cognitive Toolkit (CNTK).
-
D.
LUA
LUA is the IATA airport code for Tenzing-Hillary Airport, the small but famous gateway to Nepal’s Everest region.
-
E.
NewtonScript
NewtonScript is an object-oriented, prototype-based programming language developed by Apple for its Newton PDA platform, designed for ease of use in pen-based and mobile applications.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31bd6f88190b2ea644420995e41 |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c226bc881909609da0bfbd4748e |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d060881c908190b22d06eaf9f8b192 |
completed | April 4, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0611e76988190be93d1d3dd8f1ab1 |
completed | April 4, 2026, 12:53 a.m. |
Created at: March 30, 2026, 7:24 p.m.