Triple
T26817804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Campbell Playhouse |
E675163
|
entity |
| Predicate | sponsorProductType |
P36108
|
FINISHED |
| Object | canned soup |
—
|
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: canned soup | Statement: [The Campbell Playhouse, sponsorProductType, canned soup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorProductType Context triple: [The Campbell Playhouse, sponsorProductType, canned soup]
-
A.
sponsorProduct
Indicates that one entity financially supports or endorses a product, typically in exchange for promotion or association with that product.
-
B.
sponsorBrandType
Indicates the type or category of brand that is acting as a sponsor in the relationship.
-
C.
sponsorType
Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
-
D.
vendorProductOf
Indicates that a product is offered or supplied by a particular vendor.
-
E.
productTypePromoted
chosen
Indicates that a particular type or category of product is being actively promoted or highlighted, such as through marketing, placement, or special offers.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 4:53 a.m.