Triple
T5706639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am What I Am |
E125798
|
entity |
| Predicate | belongsToBrandCategory |
P39625
|
FINISHED |
| Object | sportswear brand slogans |
—
|
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: sportswear brand slogans | Statement: [I Am What I Am, belongsToBrandCategory, sportswear brand slogans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToBrandCategory Context triple: [I Am What I Am, belongsToBrandCategory, sportswear brand slogans]
-
A.
associatedBrandCategory
chosen
Indicates that a brand is linked to or classified under a particular product or service category.
-
B.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
C.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
D.
hasRelatedCategory
Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
-
E.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.