Triple
T15999552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GD-ROM |
E388059
|
entity |
| Predicate | usedInArcadeHardware |
P82814
|
FINISHED |
| Object |
Sega Chihiro
Sega Chihiro is an arcade system board by Sega based on modified Xbox hardware, designed to run advanced 3D arcade games from GD-ROM media.
|
E1187764
|
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: Sega Chihiro | Statement: [GD-ROM, usedInArcadeHardware, Sega Chihiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sega Chihiro Context triple: [GD-ROM, usedInArcadeHardware, Sega Chihiro]
-
A.
Kunio
Kunio is a Japanese masculine given name borne by various notable figures in politics, academia, and the arts.
-
B.
Akio
Akio is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and entertainment.
-
C.
Taitō
Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
-
D.
Tokitarō
Tokitarō was the childhood given name of the renowned Japanese ukiyo-e artist Katsushika Hokusai.
-
E.
Yoichi
Yoichi is a coastal town in Hokkaido, Japan, known for its whisky distilleries, fruit orchards, and scenic location along the Sea of Japan.
- 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: Sega Chihiro Triple: [GD-ROM, usedInArcadeHardware, Sega Chihiro]
Generated description
Sega Chihiro is an arcade system board by Sega based on modified Xbox hardware, designed to run advanced 3D arcade games from GD-ROM media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sega Chihiro Target entity description: Sega Chihiro is an arcade system board by Sega based on modified Xbox hardware, designed to run advanced 3D arcade games from GD-ROM media.
-
A.
Kunio
Kunio is a Japanese masculine given name borne by various notable figures in politics, academia, and the arts.
-
B.
Akio
Akio is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and entertainment.
-
C.
Taitō
Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
-
D.
Tokitarō
Tokitarō was the childhood given name of the renowned Japanese ukiyo-e artist Katsushika Hokusai.
-
E.
Yoichi
Yoichi is a coastal town in Hokkaido, Japan, known for its whisky distilleries, fruit orchards, and scenic location along the Sea of Japan.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828e9e708190aec0078913bf098a |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d99ca08190a3d07a0802b1b24a |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc44e8b0c81909b8af9006aa5fc4d |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4bdf840819085e0a537e126c704 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:55 a.m.