Triple
T15883662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre the Giant Memorial Battle Royal |
E385135
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Jey Uso |
E600025
|
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: Jey Uso | Statement: [Andre the Giant Memorial Battle Royal, notableWinner, Jey Uso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jey Uso Context triple: [Andre the Giant Memorial Battle Royal, notableWinner, Jey Uso]
-
A.
Jey Uso
chosen
Jey Uso is a professional wrestler best known as one half of the Uso brothers tag team and a prominent performer in WWE.
-
B.
Jowny
Jowny is a music producer associated with the artist Nibiru.
-
C.
Jared Keeso
Jared Keeso is a Canadian actor, writer, and producer best known for creating and starring in the comedy series "Letterkenny."
-
D.
Fiyero
Fiyero is a central character in the musical and novel "Wicked," portrayed as a carefree prince who becomes Elphaba's love interest and undergoes significant moral growth.
-
E.
Jeush
Jeush is a minor biblical figure mentioned in the Hebrew Bible as one of the sons in Esau’s family line.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156186b98819087b80ade6bd71a69 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95466e08190a967114821651e60 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.