Triple
T19603393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Donnellan |
E470539
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | David Kaplan |
—
|
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: David Kaplan | Statement: [Keith Donnellan, influenced, David Kaplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kaplan Context triple: [Keith Donnellan, influenced, David Kaplan]
-
A.
David Kaplan
chosen
David Kaplan is an American philosopher best known for his influential work in the philosophy of language and logic, particularly on demonstratives, indexicals, and the semantics of context.
-
B.
David Kaplan
David Kaplan is a film producer known for his work on independent and genre films, including serving as a producer on the movie "Kicks."
-
C.
Neil Kaplan
Neil Kaplan is an American voice actor best known for portraying heroic characters in animation and video games, including Optimus Prime in the "Transformers: Robots in Disguise" series.
-
D.
Jonathan Kaplan
Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
-
E.
Greg Kaplan
Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64081af6c8190868b73b07c874cd5 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.