Triple
T21429932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Therapy |
E528656
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Blake Slatkin |
—
|
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: Blake Slatkin | Statement: [Therapy, producer, Blake Slatkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blake Slatkin Context triple: [Therapy, producer, Blake Slatkin]
-
A.
Blake Slatkin
chosen
Blake Slatkin is an American songwriter and producer known for crafting contemporary pop hits for major artists.
-
B.
Blake Soper
Blake Soper, better known as Blake Sennett, is an American musician and former child actor best known as the guitarist and songwriter for the indie rock band Rilo Kiley.
-
C.
Matthew Sklar
Matthew Sklar is an American composer best known for his work on Broadway musicals, including the stage adaptation of "The Wedding Singer."
-
D.
Jed Schlanger
Jed Schlanger is a film producer best known for his work on the animated adventure feature "The Sea Beast."
-
E.
Michael Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.