Triple
T20939013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Unbearable Weight of Massive Talent |
E515664
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kevin Turen |
—
|
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: Kevin Turen | Statement: [The Unbearable Weight of Massive Talent, producer, Kevin Turen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Turen Context triple: [The Unbearable Weight of Massive Talent, producer, Kevin Turen]
-
A.
Kevin Turen
chosen
Kevin Turen is an American film and television producer known for working on acclaimed independent projects and prestige series.
-
B.
Kevin Crowe
Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
-
C.
Dave Ehrlich
Dave Ehrlich is a musician best known as a former member of the pop-punk band Nerf Herder.
-
D.
Thomas Leitch
Thomas Leitch is a scholar of film and literary adaptation studies, known for his influential work on how literature is transformed into cinema.
-
E.
Charlie Siskel
Charlie Siskel is an American film and television producer and director known for his work on documentaries and comedy programs.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.