Triple
T37617784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back Alley Oproar |
E935975
|
entity |
| Predicate | predecessorWorkStudio |
P196851
|
FINISHED |
| Object | Warner Bros. Cartoons |
—
|
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: Warner Bros. Cartoons | Statement: [Back Alley Oproar, predecessorWorkStudio, Warner Bros. Cartoons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorWorkStudio Context triple: [Back Alley Oproar, predecessorWorkStudio, Warner Bros. Cartoons]
-
A.
predecessorDesign
Indicates that one design serves as the predecessor or earlier version in relation to another design.
-
B.
predecessorSystem
Indicates that one system existed or was in use before and was replaced or superseded by another system.
-
C.
formerStudioOf
Indicates that a studio previously occupied or used by one entity is now associated with another entity as its former studio.
-
D.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
E.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
| PDg | Predicate description generation | batch_69fe6b7a823881909dc2037fe25bea24 |
completed | May 8, 2026, 11:02 p.m. |
Created at: May 3, 2026, 4:18 p.m.