Triple
T9905431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyoming Sessions |
E184997
|
entity |
| Predicate | influencedWork |
P1994
|
FINISHED |
| Object | Ye |
E10862
|
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: Ye | Statement: [Wyoming Sessions, influencedWork, Ye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ye Context triple: [Wyoming Sessions, influencedWork, Ye]
-
A.
Ye
Ye was an important ancient Chinese city that served as a major political and cultural center in northern China, particularly noted for its role as the capital of several dynasties.
-
B.
Ye
chosen
Ye is Kanye West's eighth studio album, known for its introspective themes and minimalist production.
-
C.
Ye
Ye is an American rapper, producer, and fashion designer known for his influential music career, outspoken public persona, and ventures in fashion and business.
-
D.
Ye
Ye is a coastal town in southeastern Myanmar known for its surrounding rubber plantations, nearby beaches, and location along the Ye River in Mon State.
-
E.
YE
YE is the two-letter ISO 3166-1 alpha-2 country code assigned to Yemen for international standardization and identification purposes.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb4e641e881909dfba78fcb96c433 |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d9e132c8190a68f94e4cfd36c56 |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:40 p.m.