Triple
T22945314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King of Queens |
E569850
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Hanley Productions |
—
|
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: Hanley Productions | Statement: [The King of Queens, productionCompany, Hanley Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanley Productions Context triple: [The King of Queens, productionCompany, Hanley Productions]
-
A.
Hanley Productions
chosen
Hanley Productions is a television production company best known for producing the American sitcom "The King of Queens."
-
B.
Mulholland Productions
Mulholland Productions is a film production company best known for its involvement in the 1994 romantic drama "Love Affair."
-
C.
Hancock Productions
Hancock Productions is a television production company best known for its work on the dark comedy-drama series "Weeds."
-
D.
Langley Productions
Langley Productions is an American television production company best known for creating and producing the long-running reality TV series "Cops."
-
E.
Albert Productions
Albert Productions is an Australian independent record label and production company best known for discovering and nurturing rock bands such as AC/DC.
- 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.