Triple
T25201727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resident Evil 2 (2019 video game) |
E631140
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Shogo Nakamura
Shogo Nakamura is a Japanese video game writer best known for his narrative work on Capcom titles, including the 2019 remake of Resident Evil 2.
|
E2297071
|
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: Shogo Nakamura | Statement: [Resident Evil 2 (2019 video game), writer, Shogo Nakamura]
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: Shogo Nakamura Triple: [Resident Evil 2 (2019 video game), writer, Shogo Nakamura]
Generated description
Shogo Nakamura is a Japanese video game writer best known for his narrative work on Capcom titles, including the 2019 remake of Resident Evil 2.
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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f474b904f48190be6513788f89c6a9 |
completed | May 1, 2026, 9:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a82ff8602888190ad6365c036208d95 |
completed | Aug. 17, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_6a82ffd803748190a37e16a4f5a434ed |
completed | Aug. 17, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a8300e6b8988190a3c07a34eda62365 |
completed | Aug. 17, 2026, 12:39 p.m. |
Created at: April 21, 2026, 12:51 p.m.