Triple
T22875549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reconstruction |
E567310
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | John Kahn |
—
|
NE NERFINISHED |
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: John Kahn | Statement: [Reconstruction, hasMember, John Kahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Kahn Context triple: [Reconstruction, hasMember, John Kahn]
-
A.
John Kahn
chosen
John Kahn was an American bassist and producer best known for his long-running collaboration with Jerry Garcia across multiple projects.
-
B.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
-
C.
Jonathan Kahn
Jonathan Kahn is the son of influential American economist and deregulation advocate Alfred E. Kahn.
-
D.
Paul Kahn
Paul Kahn is a notable individual whose specific public recognition or field of prominence is not clearly identifiable from the given information.
-
E.
Doug Berman
Doug Berman is an American radio producer best known for creating and producing popular NPR programs, including the news quiz show "Wait Wait... Don't Tell Me!" and the car-advice show "Car Talk."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f57a1ec8190b8c6a0080d97a2a2 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.