Triple
T5080825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fats Domino |
E114504
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Dr. John |
E356029
|
NE FINISHED |
How this triple was built (2 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: Dr. John | Statement: [Fats Domino, influenced, Dr. John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. John Context triple: [Fats Domino, influenced, Dr. John]
-
A.
Dr. John
chosen
Dr. John was an American singer, songwriter, and pianist known for his distinctive blend of New Orleans R&B, funk, and psychedelic rock.
-
B.
Bill Cosey
Bill Cosey is the charismatic, morally ambiguous patriarch and hotel owner whose life and legacy drive the intertwined relationships and conflicts in Toni Morrison’s novel "Love."
-
C.
Sal Creole
Sal Creole is a regional variety of Cape Verdean Creole spoken primarily on the island of Sal in Cape Verde.
-
D.
Jimmy Buffett
Jimmy Buffett was an American singer-songwriter, author, and businessman best known for his laid-back "island escapism" music and the hit song "Margaritaville."
-
E.
Aaron Neville
Aaron Neville is an American R&B and soul singer known for his distinctive vibrato, solo hits like "Tell It Like It Is," and his work with the Neville Brothers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 20, 2026, 1:39 p.m.