Triple
T12458325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billions |
E297718
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | David Levien |
E205759
|
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 Levien | Statement: [Billions, executiveProducer, David Levien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Levien Context triple: [Billions, executiveProducer, David Levien]
-
A.
David Levien
chosen
David Levien is an American screenwriter, novelist, and producer best known for co-writing crime and heist films as well as co-creating the television series "Billions."
-
B.
Jeff Levine
Jeff Levine is a film producer best known for his work on the horror drama "Shadow of the Vampire."
-
C.
Ken F. Levin
Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
-
D.
Mike Kellerman
Mike Kellerman is a fictional Baltimore homicide detective known for his morally complex investigations and personal struggles on the television series "Homicide: Life on the Street."
-
E.
John Cagan
John Cagan is the namesake of Cagan Stadium, likely a significant benefactor or figure associated with the institution that owns the venue.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da46a588190bc888fafd6d1eb5d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea710d481908371209cb92502a6 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.