Triple
T32123818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lots-o'-Huggin' Bear |
E820445
|
entity |
| Predicate | toyBrandInUniverse |
P63394
|
FINISHED |
| Object | Lots-o'-Huggin' Bear 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: Lots-o'-Huggin' Bear line | Statement: [Lots-o'-Huggin' Bear, toyBrandInUniverse, Lots-o'-Huggin' Bear line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toyBrandInUniverse Context triple: [Lots-o'-Huggin' Bear, toyBrandInUniverse, Lots-o'-Huggin' Bear line]
-
A.
isToyOf
Indicates that one entity is a toy that belongs to, is used by, or is associated with another entity.
-
B.
toyLine
chosen
Indicates that one entity is part of, or associated with, a particular toy product line or series.
-
C.
partOfCreativeUniverse
Indicates that one creative work, element, or concept belongs to or exists within the fictional or artistic universe defined by another.
-
D.
toyType
Indicates the specific category or kind of toy that an item belongs to.
-
E.
alsoManufacturedBy
Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96a22d48190aba271c414a1d926 |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:29 a.m.