Triple
T10241267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fats Waller |
E243597
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas is the given name of Fats Waller, the influential American jazz pianist, organist, composer, and entertainer of the early 20th century.
|
E853483
|
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: Thomas | Statement: [Fats Waller, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Fats Waller, givenName, Thomas]
-
A.
John
John Seigenthaler was an American journalist, editor, and civil rights advocate best known for his long tenure at The Tennessean and his work promoting First Amendment rights.
-
B.
John
John is the given name of John Vlissides, a software engineer best known as one of the “Gang of Four” authors of the influential book *Design Patterns: Elements of Reusable Object-Oriented Software*.
-
C.
John
John is the given name of Sir John Woodville, a 15th-century English nobleman associated with the influential Woodville family during the Wars of the Roses.
-
D.
John
John is the given name of Lord Eldon, a prominent British lawyer and politician who served as Lord Chancellor in the early 19th century.
-
E.
John
John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
- 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: Thomas Triple: [Fats Waller, givenName, Thomas]
Generated description
Thomas is the given name of Fats Waller, the influential American jazz pianist, organist, composer, and entertainer of the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas is the given name of Fats Waller, the influential American jazz pianist, organist, composer, and entertainer of the early 20th century.
-
A.
Thomas
Thomas is the given name of American jazz trombonist and big band leader Tommy Dorsey, a prominent figure of the swing era.
-
B.
Thomas
Thomas is the given first name of the American singer-songwriter, composer, and actor Tom Waits.
-
C.
Thomas
Thomas is the given first name of American folk singer-songwriter Tom Paxton, known for his influential protest and contemporary folk songs.
-
D.
Thomas
Thomas is the given name of British entertainer Tommy Steele, a pioneering rock and roll singer and actor.
-
E.
Thomas
Thomas is the given first name of the renowned American playwright Tennessee Williams, known for works such as "A Streetcar Named Desire" and "Cat on a Hot Tin Roof."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21f2ae0819098ac60c828dc9cae |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6ffefb881908296481343fb7ad3 |
completed | April 9, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69d6fa2f7a848190a9de5de4d0f3f110 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcbab3ec8190ade1c0223c22ad58 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:24 a.m.