Triple
T5080812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fats Domino |
E114504
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Fat Man
The Fat Man is a pioneering 1949 rhythm-and-blues song by Fats Domino that is often cited as one of the first rock and roll records.
|
E493063
|
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: The Fat Man | Statement: [Fats Domino, notableWork, The Fat Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fat Man Context triple: [Fats Domino, notableWork, The Fat Man]
-
A.
The Old Man
The Old Man is the underworld nickname of Russell Bufalino, a powerful mid-20th-century American mob boss associated with the Bufalino crime family and alleged ties to major organized crime events.
-
B.
The Man
The Man is a film featuring actor Richard Gant in a significant role.
-
C.
The Man
"The Man" is a 2017 funk-influenced rock single by American band The Killers, known for its swaggering, self-confident lyrics and bold, retro sound.
-
D.
The Ralph
The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
-
E.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
- 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: The Fat Man Triple: [Fats Domino, notableWork, The Fat Man]
Generated description
The Fat Man is a pioneering 1949 rhythm-and-blues song by Fats Domino that is often cited as one of the first rock and roll records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Fat Man Target entity description: The Fat Man is a pioneering 1949 rhythm-and-blues song by Fats Domino that is often cited as one of the first rock and roll records.
-
A.
The Old Man
The Old Man is the underworld nickname of Russell Bufalino, a powerful mid-20th-century American mob boss associated with the Bufalino crime family and alleged ties to major organized crime events.
-
B.
The Man
The Man is a film featuring actor Richard Gant in a significant role.
-
C.
The Man
"The Man" is a 2017 funk-influenced rock single by American band The Killers, known for its swaggering, self-confident lyrics and bold, retro sound.
-
D.
The Ralph
The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
-
E.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f9d9848190919aad6cfe14f1cf |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb1303bc4819084e0270a8ff97aec |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb1dd68cc819080f5326972059995 |
completed | March 21, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb26a849c819096161ed3b4d30ec6 |
completed | March 21, 2026, 2:59 p.m. |
Created at: March 20, 2026, 1:39 p.m.