Triple
T9175695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fate/Zero |
E220193
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Nitroplus
Nitroplus is a Japanese visual novel and game development company known for producing dark-themed titles and collaborating on popular anime and multimedia franchises.
|
E782281
|
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: Nitroplus | Statement: [Fate/Zero, publisher, Nitroplus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nitroplus Context triple: [Fate/Zero, publisher, Nitroplus]
-
A.
Nitro
Nitro is a high-speed steel hypercoaster at Six Flags Great Adventure known for its towering drops, smooth airtime hills, and open-air seating.
-
B.
Nitro
Nitro is the internal codename used by Nintendo for the development and hardware platform of the Nintendo DS handheld game system.
-
C.
Nitro
Nitro is Acer’s gaming-focused product line known for offering budget-friendly laptops, desktops, and monitors designed for mainstream gamers.
-
D.
Nitro-Chem
Nitro-Chem is a major Polish defense industry company specializing in the production of explosives and related military materials.
-
E.
Monster Nitro
Monster Nitro is a carbonated energy drink variant from Monster Energy known for its smooth, nitrogen-infused texture and high caffeine content.
- 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: Nitroplus Triple: [Fate/Zero, publisher, Nitroplus]
Generated description
Nitroplus is a Japanese visual novel and game development company known for producing dark-themed titles and collaborating on popular anime and multimedia franchises.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nitroplus Target entity description: Nitroplus is a Japanese visual novel and game development company known for producing dark-themed titles and collaborating on popular anime and multimedia franchises.
-
A.
Nitro
Nitro is a high-speed steel hypercoaster at Six Flags Great Adventure known for its towering drops, smooth airtime hills, and open-air seating.
-
B.
Nitro
Nitro is the internal codename used by Nintendo for the development and hardware platform of the Nintendo DS handheld game system.
-
C.
Nitro
Nitro is Acer’s gaming-focused product line known for offering budget-friendly laptops, desktops, and monitors designed for mainstream gamers.
-
D.
Nitro-Chem
Nitro-Chem is a major Polish defense industry company specializing in the production of explosives and related military materials.
-
E.
Monster Nitro
Monster Nitro is a carbonated energy drink variant from Monster Energy known for its smooth, nitrogen-infused texture and high caffeine content.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054a87f3881908bda69238d2b97ab |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0568634848190b5a2db2f7d3759f8 |
completed | April 4, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05717b6588190a92ded4f745d133a |
completed | April 4, 2026, 12:11 a.m. |
Created at: March 30, 2026, 7:23 p.m.