Triple
T32513751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krusty the Clown Show |
E831003
|
entity |
| Predicate | hasInUniverseCommercials |
P200521
|
FINISHED |
| Object | Krusty brand products |
—
|
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: Krusty brand products | Statement: [Krusty the Clown Show, hasInUniverseCommercials, Krusty brand products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInUniverseCommercials Context triple: [Krusty the Clown Show, hasInUniverseCommercials, Krusty brand products]
-
A.
appearedInCommercialFor
Indicates that one entity was featured or took part in a commercial advertisement promoting another entity.
-
B.
hasDirectedCommercialsFor
Indicates that one entity has directed commercials created for or on behalf of another entity.
-
C.
hasCommercialAppeal
Indicates that something possesses qualities likely to attract buyers or generate profitable market interest.
-
D.
hasInUniverseFormat
Indicates that something is presented or expressed in a specific format as it exists within a particular fictional or conceptual universe.
-
E.
hasFictionalMarketing
Indicates that an entity is associated with marketing materials or campaigns that are fictional, fabricated, or not based on real products, services, or events.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
| PDg | Predicate description generation | batch_69ff935f48808190aa6f4834f59d45b8 |
completed | May 9, 2026, 8:04 p.m. |
Created at: May 1, 2026, 1 a.m.