Triple
T21764639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wario Land |
E537245
|
entity |
| Predicate | featuresEnemyGroup |
P17627
|
FINISHED |
| Object |
Brown Sugar Pirates
Brown Sugar Pirates are a recurring band of treasure-stealing antagonists led by Captain Syrup in the Wario Land video game series.
|
E1501348
|
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: Brown Sugar Pirates | Statement: [Wario Land, featuresEnemyGroup, Brown Sugar Pirates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown Sugar Pirates Context triple: [Wario Land, featuresEnemyGroup, Brown Sugar Pirates]
-
A.
Los Piratas
Los Piratas is the popular nickname of Chilean football club Coquimbo Unido, reflecting the port city’s seafaring and pirate-themed identity.
-
B.
Sky Pirates
Sky Pirates is an adventure film produced by Raffaella De Laurentiis, centered on high-flying escapades and airborne treasure hunting.
-
C.
Sky Pirates
Sky Pirates are a band of airborne brigands in the Lego Ninjago universe who raid from flying ships and serve as major foes to the ninja heroes.
-
D.
Piratin
Piratin is the surname of Phil Piratin, a notable British communist politician and former Member of Parliament.
-
E.
Piratapuyo
Piratapuyo is an indigenous Tucanoan language spoken by the Piratapuyo people of the northwest Amazon region, primarily in Colombia and Brazil.
- 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: Brown Sugar Pirates Triple: [Wario Land, featuresEnemyGroup, Brown Sugar Pirates]
Generated description
Brown Sugar Pirates are a recurring band of treasure-stealing antagonists led by Captain Syrup in the Wario Land video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brown Sugar Pirates Target entity description: Brown Sugar Pirates are a recurring band of treasure-stealing antagonists led by Captain Syrup in the Wario Land video game series.
-
A.
Los Piratas
Los Piratas is the popular nickname of Chilean football club Coquimbo Unido, reflecting the port city’s seafaring and pirate-themed identity.
-
B.
Sky Pirates
Sky Pirates is an adventure film produced by Raffaella De Laurentiis, centered on high-flying escapades and airborne treasure hunting.
-
C.
Sky Pirates
Sky Pirates are a band of airborne brigands in the Lego Ninjago universe who raid from flying ships and serve as major foes to the ninja heroes.
-
D.
Piratin
Piratin is the surname of Phil Piratin, a notable British communist politician and former Member of Parliament.
-
E.
Piratapuyo
Piratapuyo is an indigenous Tucanoan language spoken by the Piratapuyo people of the northwest Amazon region, primarily in Colombia and Brazil.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3677fa80819082dbe7ba2fcb0421 |
completed | May 17, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a0a373aca708190aae867f78c87b956 |
completed | May 17, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37e0bed48190b0319d62eaff5d1e |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:51 p.m.