Triple
T2885131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aerosmith |
E59486
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Tom Hamilton |
E311178
|
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: Tom Hamilton | Statement: [Aerosmith, bassist, Tom Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Hamilton Context triple: [Aerosmith, bassist, Tom Hamilton]
-
A.
Tom Hamilton
chosen
Tom Hamilton is an American bassist best known as a founding member of the rock band Aerosmith.
-
B.
Tom Callaghan
Tom Callaghan is a notable individual distinguished enough to be specifically cited as a prominent bearer of the surname Callaghan.
-
C.
Gerry Connolly
Gerry Connolly is a Democratic U.S. Congressman from Northern Virginia known for his work on government oversight, federal workforce issues, and foreign affairs.
-
D.
Brian Lynch
Brian Lynch is a Grammy-winning American jazz trumpeter and composer known for his work in Latin jazz and collaborations with artists such as Art Blakey and Eddie Palmieri.
-
E.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04476588190b0db0880e14c79b5 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc5553e08190b9a49f23bb29fcc4 |
completed | March 11, 2026, 5:23 a.m. |
Created at: March 6, 2026, 10:03 p.m.