Triple
T16013851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riccardo Zacconi |
E388410
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object |
King
King is a prominent mobile and social game development company best known for creating the hit puzzle game Candy Crush Saga.
|
E273768
|
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: King | Statement: [Riccardo Zacconi, coFounded, King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Context triple: [Riccardo Zacconi, coFounded, King]
-
A.
King
The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
-
B.
King
"King" is a 2022 song by English indie rock band Florence and the Machine that explores themes of womanhood, power, and identity.
-
C.
King
King is a public transit stop commonly associated with King Street, likely serving as a key access point along that corridor.
-
D.
King
King is a masculine given name, historically associated with leadership or nobility and occasionally used as a first name in English-speaking countries.
-
E.
King
King is a recurring fighter in the Art of Fighting and The King of Fighters video game series, known for her Muay Thai fighting style and androgynous appearance.
- 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: King Triple: [Riccardo Zacconi, coFounded, King]
Generated description
King is a prominent mobile and social game development company best known for creating the hit puzzle game Candy Crush Saga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: King Target entity description: King is a prominent mobile and social game development company best known for creating the hit puzzle game Candy Crush Saga.
-
A.
King
chosen
King is a prominent video game company best known for creating the massively popular mobile puzzle game Candy Crush Saga.
-
B.
King
King is a professional esports player best known for competing under the handle "King" in games such as League of Legends.
-
C.
King
King is a British Christian rock and worship band known for its energetic live performances and faith-centered lyrics.
-
D.
King
King is the jovial and temperamental monarch in Disney’s Cinderella, best known as Prince Charming’s father who eagerly schemes to see his son married.
-
E.
King
King is a recurring fighter in the Art of Fighting and The King of Fighters video game series, known for her Muay Thai fighting style and androgynous appearance.
- F. None of above.
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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18292b79881908efac869603c4029 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0bfc05881908d7223c52050ea14 |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd159dbcc81908ac586a6b8de57cf |
completed | May 10, 2026, 12:29 a.m. |
Created at: April 10, 2026, 4:55 a.m.