Triple
T12869955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missoni |
E307821
|
entity |
| Predicate | hasCollaboration |
P10645
|
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: [Missoni, hasCollaboration, Converse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Converse Context triple: [Missoni, hasCollaboration, 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.
Keds
Keds is an American footwear brand best known for its classic canvas sneakers and long association with casual, everyday fashion.
-
D.
Vans
Vans is an American footwear and apparel brand best known for its skate shoes and strong ties to skateboarding and youth street culture.
-
E.
Nikes
"Nikes" is a critically acclaimed, genre-blending opening track by Frank Ocean that explores themes of materialism, grief, and identity.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb4b28c8190a4ec9cad4e1e0f05 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.