Triple
T6262959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zutty Singleton |
E140344
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Zutty
Zutty was an influential American jazz drummer, best known for his pioneering work in early New Orleans and Chicago jazz scenes.
|
E579834
|
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: Zutty | Statement: [Zutty Singleton, nickname, Zutty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zutty Context triple: [Zutty Singleton, nickname, Zutty]
-
A.
Taz
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
-
B.
Tuffy
Tuffy is the nickname of former professional baseball outfielder Tuffy Rhodes, known for his notable performances in both Major League Baseball and Nippon Professional Baseball.
-
C.
Tuffy
Tuffy is the live Tamaskan dog who serves as the official canine mascot for North Carolina State University’s athletic teams.
-
D.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
-
E.
Fatso
Fatso is one of the mischievous Ghostly Trio uncles in the 1995 live-action film "Casper," known for his gluttonous, crude, and comedic personality.
- 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: Zutty Triple: [Zutty Singleton, nickname, Zutty]
Generated description
Zutty was an influential American jazz drummer, best known for his pioneering work in early New Orleans and Chicago jazz scenes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zutty Target entity description: Zutty was an influential American jazz drummer, best known for his pioneering work in early New Orleans and Chicago jazz scenes.
-
A.
Taz
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
-
B.
Tuffy
Tuffy is the nickname of former professional baseball outfielder Tuffy Rhodes, known for his notable performances in both Major League Baseball and Nippon Professional Baseball.
-
C.
Tuffy
Tuffy is the live Tamaskan dog who serves as the official canine mascot for North Carolina State University’s athletic teams.
-
D.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
-
E.
Fatso
Fatso is one of the mischievous Ghostly Trio uncles in the 1995 live-action film "Casper," known for his gluttonous, crude, and comedic personality.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06387fec0819095b47a37b9402aa9 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2445061a481909487fdb04c50493b |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c2a7b1406c8190a703297cf3dbafca |
completed | March 24, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2a809cb1c81909aca6b1b70310e67 |
completed | March 24, 2026, 3:04 p.m. |
Created at: March 22, 2026, 4:25 p.m.