Triple
T19644258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arc |
E471628
|
entity |
| Predicate | developerOfWork |
P23571
|
FINISHED |
| Object |
G-Craft
G-Craft is a Japanese video game developer best known for creating the tactical role-playing game series Front Mission.
|
E1387923
|
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: G-Craft | Statement: [Arc, developerOfWork, G-Craft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-Craft Context triple: [Arc, developerOfWork, G-Craft]
-
A.
Grocon
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
-
B.
Glaserworks
Glaserworks is an architectural firm known for its role in designing major sports venues, including contributing to the design of Paycor Stadium in Cincinnati.
-
C.
Kemper Cabinets
Kemper Cabinets is a kitchen and bath cabinetry brand known for offering a range of stylish, semi-custom cabinet solutions for residential remodeling and new construction.
-
D.
Goodman
Goodman is a common English-language surname borne by numerous notable individuals across fields such as philosophy, arts, and entertainment.
-
E.
Rumbeck
Rumbeck is a village and district within the city of Arnsberg in the German state of North Rhine-Westphalia.
- 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: G-Craft Triple: [Arc, developerOfWork, G-Craft]
Generated description
G-Craft is a Japanese video game developer best known for creating the tactical role-playing game series Front Mission.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G-Craft Target entity description: G-Craft is a Japanese video game developer best known for creating the tactical role-playing game series Front Mission.
-
A.
Grocon
Grocon is a major Australian construction and development company known for delivering large-scale commercial and residential projects.
-
B.
Glaserworks
Glaserworks is an architectural firm known for its role in designing major sports venues, including contributing to the design of Paycor Stadium in Cincinnati.
-
C.
Kemper Cabinets
Kemper Cabinets is a kitchen and bath cabinetry brand known for offering a range of stylish, semi-custom cabinet solutions for residential remodeling and new construction.
-
D.
Goodman
Goodman is a common English-language surname borne by numerous notable individuals across fields such as philosophy, arts, and entertainment.
-
E.
Rumbeck
Rumbeck is a village and district within the city of Arnsberg in the German state of North Rhine-Westphalia.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412452d481908b6946cad3c411d5 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ee8b6148190b8abcefbcf8b6ad6 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077f87d96c8190a8d9ee82e84be1f2 |
completed | May 15, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07816f54408190b6458ed0d17f9b60 |
completed | May 15, 2026, 8:26 p.m. |
Created at: April 10, 2026, 1:44 p.m.