Triple
T20761228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers video games |
E510980
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Luxoflux
Luxoflux was an American video game development studio best known for creating licensed action titles, including entries in the Transformers game series.
|
E1449747
|
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: Luxoflux | Statement: [Transformers video games, developer, Luxoflux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luxoflux Context triple: [Transformers video games, developer, Luxoflux]
-
A.
Everlight
Everlight is a special standalone episode of the comedy series "Mythic Quest" that focuses on a fantasy-themed in-game tournament and the development of its characters.
-
B.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
-
C.
Flos
Flos is an Italian lighting company renowned for its innovative, design-led lamps and fixtures created in collaboration with prominent designers.
-
D.
LUX
LUX is the three-letter ISO 3166-1 alpha-3 country code assigned to Luxembourg.
-
E.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
- 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: Luxoflux Triple: [Transformers video games, developer, Luxoflux]
Generated description
Luxoflux was an American video game development studio best known for creating licensed action titles, including entries in the Transformers game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luxoflux Target entity description: Luxoflux was an American video game development studio best known for creating licensed action titles, including entries in the Transformers game series.
-
A.
Everlight
Everlight is a special standalone episode of the comedy series "Mythic Quest" that focuses on a fantasy-themed in-game tournament and the development of its characters.
-
B.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
-
C.
Flos
Flos is an Italian lighting company renowned for its innovative, design-led lamps and fixtures created in collaboration with prominent designers.
-
D.
LUX
LUX is the three-letter ISO 3166-1 alpha-3 country code assigned to Luxembourg.
-
E.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2493a188190a336a35ea134e5f7 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef84885c8190957b6fd0bf2ef319 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08effa455c81908bd6213bed3bdba1 |
completed | May 16, 2026, 10:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f09a2b688190bf7b026fc4b9977e |
completed | May 16, 2026, 10:32 p.m. |
Created at: April 16, 2026, 12:35 p.m.