Triple
T10525957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Ray |
E248304
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object |
Quick
Quick is a character associated with the boxer and entertainer Sugar Ray, likely appearing in media or promotional contexts connected to his persona.
|
E869393
|
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: Quick | Statement: [Sugar Ray, associatedWithCharacter, Quick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quick Context triple: [Sugar Ray, associatedWithCharacter, Quick]
-
A.
Quick
Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
-
B.
Quick Fast
"Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
-
C.
Fast
Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
-
D.
Speedy
Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
-
E.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
- 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: Quick Triple: [Sugar Ray, associatedWithCharacter, Quick]
Generated description
Quick is a character associated with the boxer and entertainer Sugar Ray, likely appearing in media or promotional contexts connected to his persona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quick Target entity description: Quick is a character associated with the boxer and entertainer Sugar Ray, likely appearing in media or promotional contexts connected to his persona.
-
A.
Quick
Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
-
B.
Quick Fast
"Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
-
C.
Fast
Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
-
D.
Speedy
Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
-
E.
Fastiv
Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4bbe88190bce7789a56c85671 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e26c4908190b77d73c11bee6119 |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107e8b94819086ebba1675a0db54 |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911a16b1481909197b00c30de48c4 |
completed | April 10, 2026, 3:05 p.m. |
Created at: April 6, 2026, 12:29 p.m.