Triple
T25641220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlboro Man |
E642840
|
entity |
| Predicate | productTypeAdvertised |
P90900
|
FINISHED |
| Object | cigarettes |
—
|
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: cigarettes | Statement: [Marlboro Man, productTypeAdvertised, cigarettes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productTypeAdvertised Context triple: [Marlboro Man, productTypeAdvertised, cigarettes]
-
A.
typeOfProducts
chosen
Indicates the kinds or categories of products that are associated with or offered by an entity.
-
B.
vendorProductOf
Indicates that a product is offered or supplied by a particular vendor.
-
C.
productRole
Indicates the functional role or purpose that a product has within a broader system, context, or usage scenario.
-
D.
advertisedAs
Indicates that something is promoted or presented to others as having a particular quality, identity, or role.
-
E.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 21, 2026, 5:43 p.m.