Triple
T34778050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Working Dog Productions |
E1002556
|
entity |
| Predicate | notableTelevisionFormat |
P66878
|
FINISHED |
| Object | panel quiz show |
—
|
LITERAL 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: panel quiz show | Statement: [Working Dog Productions, notableTelevisionFormat, panel quiz show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTelevisionFormat Context triple: [Working Dog Productions, notableTelevisionFormat, panel quiz show]
-
A.
televisionFormat
chosen
Indicates the specific type or style of television program or production format associated with an entity.
-
B.
notableTelevisionProduction
Indicates that the subject is significantly associated with the creation or production of the referenced television work.
-
C.
notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
-
D.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
E.
typicalBroadcastFormat
Indicates the usual or standard broadcast format in which something (such as a program or content) is typically transmitted.
- F. None of above.
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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.