Triple
T22844196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuso |
E566166
|
entity |
| Predicate | hasProductionCompany |
P14415
|
FINISHED |
| Object |
Royal
Royal is a production company associated with the works of Kuso.
|
E1556573
|
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: Royal | Statement: [Kuso, hasProductionCompany, Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Context triple: [Kuso, hasProductionCompany, Royal]
-
A.
Royal
Royal is a French surname most prominently associated with politician Ségolène Royal, a leading figure in contemporary French public life.
-
B.
Royal
Royal is the given name of American character actor Royal Dano, known for his distinctive voice and roles in Westerns and classic films.
-
C.
Regal
Regal is a character featured in the puzzle-adventure video game "Room 25."
-
D.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
E.
Royal Highness
"Royal Highness" is a formal style used to address or refer to certain members of a royal family, typically princes and princesses, signifying high but not sovereign rank.
- 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: Royal Triple: [Kuso, hasProductionCompany, Royal]
Generated description
Royal is a production company associated with the works of Kuso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Royal Target entity description: Royal is a production company associated with the works of Kuso.
-
A.
Royal
Royal is a French surname most prominently associated with politician Ségolène Royal, a leading figure in contemporary French public life.
-
B.
Royal
Royal is the given name of American character actor Royal Dano, known for his distinctive voice and roles in Westerns and classic films.
-
C.
Regal
Regal is a character featured in the puzzle-adventure video game "Room 25."
-
D.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
E.
Royal Highness
"Royal Highness" is a formal style used to address or refer to certain members of a royal family, typically princes and princesses, signifying high but not sovereign rank.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8726d4819095b4d999b4172ff7 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b9d5888190a3c94d87904a24e2 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8bb77bc81909c5422f9d73c1e70 |
completed | May 19, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba94752c48190a8892cac5ef862b2 |
completed | May 19, 2026, 12:05 a.m. |
Created at: April 17, 2026, 3:36 p.m.