Triple
T3052858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peanuts |
E60410
|
entity |
| Predicate | hasMerchandising |
P3585
|
FINISHED |
| Object | toys |
—
|
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: toys | Statement: [Peanuts, hasMerchandising, toys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMerchandising Context triple: [Peanuts, hasMerchandising, toys]
-
A.
hasMarketingCategory
Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
-
B.
hasProduct
chosen
Indicates that an entity possesses, offers, or is associated with a particular product.
-
C.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
D.
hasRetailProduct
Indicates that an entity offers, sells, or makes available a particular product in a retail context.
-
E.
hasMarketingChannel
Indicates that an entity utilizes or is associated with a particular marketing channel for promotion or communication.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf3c52c8190bbe8e5cb98c21715 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.