Triple
T37668152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porky in Wackyland |
E937876
|
entity |
| Predicate | animationStudioLocation |
P189118
|
FINISHED |
| Object | Hollywood, California |
—
|
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: Hollywood, California | Statement: [Porky in Wackyland, animationStudioLocation, Hollywood, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animationStudioLocation Context triple: [Porky in Wackyland, animationStudioLocation, Hollywood, California]
-
A.
animationStudio
Indicates that one entity is an animation studio responsible for creating, producing, or animating the other entity.
-
B.
animationStudioCountry
Indicates the country in which an animation studio is based or operates.
-
C.
animationStudioDepartment
Indicates that one entity is a department or subdivision within an animation studio represented by the other entity.
-
D.
animationStudioStyle
Indicates that one entity is characterized by, or produced in, the distinctive visual or creative style associated with a particular animation studio.
-
E.
basedAtStationStudios
Indicates that an entity (such as a program, show, or production) operates from or is primarily located at a particular station’s studios.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.