Triple
T5929003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrik Frisk |
E131886
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Vans |
E219178
|
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: Vans | Statement: [Patrik Frisk, employer, Vans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vans Context triple: [Patrik Frisk, employer, Vans]
-
A.
Vans
chosen
Vans is an American footwear and apparel brand best known for its skate shoes and strong ties to skateboarding and youth street culture.
-
B.
Converse
Converse is a suburban city in the San Antonio metropolitan area of south-central Texas, known primarily as a residential community near Joint Base San Antonio-Randolph.
-
C.
Converse, Inc.
Converse, Inc. is an American footwear and apparel company best known for its iconic Chuck Taylor All Star sneakers and its long-standing influence on sports, music, and youth culture.
-
D.
Dr. Martens
Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
-
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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038571d108190b4f3d242c068452f |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c059b08c8190aec3a8ee0119abed |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.