Triple
T5936822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocawear |
E132063
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Sean John |
E92934
|
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: Sean John | Statement: [Rocawear, competitor, Sean John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean John Context triple: [Rocawear, competitor, Sean John]
-
A.
Sean John
chosen
Sean John is a fashion and lifestyle brand founded by hip-hop mogul Sean "Diddy" Combs, known for its urban-inspired clothing and accessories.
-
B.
Matthew Johns
Matthew Johns is a former Australian rugby league footballer and media personality best known for his successful playing career with the Newcastle Knights and his later work as a television commentator and host.
-
C.
Jonny Dymond
Jonny Dymond is a British journalist and broadcaster best known as a BBC correspondent and royal commentator.
-
D.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
E.
Joshua St Johnston
Joshua St Johnston is a screenwriter best known for his work on the British film "Walking on Sunshine."
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038eca9688190adeed21df058daf1 |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c06f979881908d7e98ee674f1ff2 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.