Triple
T22945295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King of Queens |
E569850
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | David Litt |
—
|
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 Litt | Statement: [The King of Queens, creator, David Litt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Litt Context triple: [The King of Queens, creator, David Litt]
-
A.
David Litt
chosen
David Litt is an American television writer and producer best known for his work on popular sitcoms, including creating and shaping the long-running series "The King of Queens."
-
B.
Jason Greenblatt
Jason Greenblatt is an American lawyer and diplomat best known for serving as a White House envoy and chief Middle East negotiator under President Donald Trump.
-
C.
Douglas Fackler
Douglas Fackler is a bumbling, mild-mannered police cadet character from the "Police Academy" comedy film series.
-
D.
Michael Glouberman
Michael Glouberman is a television writer and producer best known for his work on the acclaimed sitcom "Malcolm in the Middle."
-
E.
Jonathan Littman
Jonathan Littman is a television producer best known for his executive production work on the CSI franchise and other major crime and drama series.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819c696c8190977bd2bca01509bc |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:45 p.m.