Triple
T5053168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mistaken Identity |
E113833
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jim Keltner |
E213411
|
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: Jim Keltner | Statement: [Mistaken Identity, performer, Jim Keltner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Keltner Context triple: [Mistaken Identity, performer, Jim Keltner]
-
A.
Jim Keltner
chosen
Jim Keltner is an American session drummer renowned for his work with artists such as John Lennon, George Harrison, Bob Dylan, and many others across rock and pop music.
-
B.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
C.
Larry Kellner
Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
-
D.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
E.
Brian Kerwin
Brian Kerwin is an American actor known for his work in film, television, and theater, including roles in movies like "King Kong Lives" and various popular TV series.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea486b394819082ea80694843b29e |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.