Triple
T19520097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: Animated |
E488379
|
entity |
| Predicate | spinOffMerchandise |
P45835
|
FINISHED |
| Object | toy line |
—
|
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: toy line | Statement: [Transformers: Animated, spinOffMerchandise, toy line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spinOffMerchandise Context triple: [Transformers: Animated, spinOffMerchandise, toy line]
-
A.
merchandiseSource
Indicates that one entity is the origin, supplier, or provider from which another entity’s merchandise is obtained.
-
B.
usedInMerchandise
Indicates that something (such as a work, character, or design) is utilized or featured as part of a merchandise item.
-
C.
hasMerchandiseTieIn
chosen
Indicates that one entity has a commercial or promotional product or line (merchandise) that is directly tied to, branded with, or derived from another entity.
-
D.
marketedProducts
Indicates that an entity promotes, sells, or otherwise brings specific products to market.
-
E.
sportsGoodsShare
Indicates a relationship where one entity shares or distributes sports-related goods with or to another entity.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7d0da88190aabf8b5799691fb1 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.