Triple
T9134840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skechers |
E219174
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object | Skechers GOwalk |
E219174
|
NE 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: Skechers GOwalk | Statement: [Skechers, hasProductLine, Skechers GOwalk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skechers GOwalk Context triple: [Skechers, hasProductLine, Skechers GOwalk]
-
A.
Skechers
chosen
Skechers is a global footwear and apparel brand known for its casual, comfortable, and performance-oriented shoes.
-
B.
Crocs
Crocs is an American footwear brand best known for its lightweight, colorful clogs made from proprietary foam resin and embraced for both comfort and distinctive style.
-
C.
Fit Feet
Fit Feet is a component of the Healthy Athletes program that focuses on evaluating and promoting proper foot health and footwear for athletes.
-
D.
Sneakers
"Sneakers" is a 1992 comedic heist thriller film about a team of security experts who become entangled in espionage over a powerful code-breaking device.
-
E.
Reebok
Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8de0dec8190978c80b9ec8bf25c |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047efc5e48190bc8c4a7e865faef9 |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:18 p.m.