Triple
T27811739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spider-Bots |
E702534
|
entity |
| Predicate | hasMerchVariant |
P92195
|
FINISHED |
| Object | Avengers Campus Spider-Bot toy |
—
|
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: Avengers Campus Spider-Bot toy | Statement: [Spider-Bots, hasMerchVariant, Avengers Campus Spider-Bot toy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMerchVariant Context triple: [Spider-Bots, hasMerchVariant, Avengers Campus Spider-Bot toy]
-
A.
hasVariantsIn
Indicates that an entity exists in multiple alternative forms or versions within a specified context or set.
-
B.
hasCommercialVariant
chosen
Indicates that an entity has a related version that is produced, marketed, or sold commercially.
-
C.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
D.
hasExtensiveMerchandise
Indicates that an entity offers a large and varied range of merchandise or products.
-
E.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 5:43 p.m.