Triple
T5861275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (RED) |
E130279
|
entity |
| Predicate | partnersWith |
P282
|
FINISHED |
| Object | Converse |
E46706
|
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: Converse | Statement: [(RED), partnersWith, Converse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Converse Context triple: [(RED), partnersWith, Converse]
-
A.
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.
-
B.
Converse, Inc.
chosen
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.
-
C.
Vans
Vans is an American footwear and apparel brand best known for its skate shoes and strong ties to skateboarding and youth street culture.
-
D.
Onitsuka Tiger
Onitsuka Tiger is a Japanese athletic footwear and apparel brand known for its retro-styled sneakers and as the predecessor to the modern ASICS corporation.
-
E.
Skechers
Skechers is a global footwear and apparel brand known for its casual, comfortable, and performance-oriented shoes.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03588dd8c81909491350140ea340e |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c70754819089081fc440ed841e |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.