Triple
T10469245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gimme Gimme Gimme |
E246881
|
entity |
| Predicate | originalChannelStrand |
P94196
|
FINISHED |
| Object | BBC Two comedy |
—
|
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: BBC Two comedy | Statement: [Gimme Gimme Gimme, originalChannelStrand, BBC Two comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalChannelStrand Context triple: [Gimme Gimme Gimme, originalChannelStrand, BBC Two comedy]
-
A.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
B.
hasStrand
Indicates that one entity possesses or is associated with a particular strand or orientation relative to another entity.
-
C.
originalChannelBlock
Indicates that one channel or source is the initial or primary origin from which another channel, block, or content segment is derived or constructed.
-
D.
originalChannelInUS
Indicates that the entity was originally broadcast or distributed on a specific television or media channel in the United States.
-
E.
originalChannelGroup
Indicates that one entity is the initial or primary channel group from which another channel or grouping is derived or associated.
- F. None of above. chosen
Provenance (4 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:20 p.m.