Triple
T6977118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My December |
E161741
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Kahne |
E284480
|
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: David Kahne | Statement: [My December, producer, David Kahne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kahne Context triple: [My December, producer, David Kahne]
-
A.
David Kahne
chosen
David Kahne is an American record producer and engineer known for his work with major artists across rock and pop, including Paul McCartney.
-
B.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
-
C.
Todd Lieberman
Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
-
D.
John Kahn
John Kahn was an American bassist and producer best known for his long-running collaboration with Jerry Garcia across multiple projects.
-
E.
Thomas J. Greytak
Thomas J. Greytak is an American physicist known for his work in low-temperature physics and his long association with the Massachusetts Institute of Technology.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db677bbc8190a084b6951e5c3182 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbbd30e48190bbd75c8c442fea5a |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 2:31 p.m.