Triple
T16652172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Get Mad, Get Even |
E404632
|
entity |
| Predicate | performerMember |
P22076
|
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: [Don't Get Mad, Get Even, performerMember, Tom Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Hamilton Context triple: [Don't Get Mad, Get Even, performerMember, Tom Hamilton]
-
A.
Tom Hamilton
chosen
Tom Hamilton is an American bassist best known as a founding member of the rock band Aerosmith.
-
B.
Ron James
Ron James is an American arena football coach best known for his leadership roles with multiple Arena Football League teams, including the Tampa Bay Storm.
-
C.
Mike Rostenkowski
Mike Rostenkowski is a recurring character on the TV sitcom "The Big Bang Theory," known as Bernadette's gruff, blue-collar father and Howard Wolowitz's intimidating father-in-law.
-
D.
Ken Harris
Ken Harris was a renowned American animator best known for his influential work on Warner Bros. cartoons, particularly in collaboration with director Chuck Jones.
-
E.
Ron Hutchinson
Ron Hutchinson is a Northern Irish playwright and screenwriter known for his work in film and television, including adaptations and genre projects in Hollywood.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf7ae7c81908b6807acd8f1669b |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c29465188190a2ba6e3a7b695de3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:18 a.m.