Triple
T15883995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Oh No" |
E385142
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Oli Sykes |
E1181088
|
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: Oli Sykes | Statement: ["Oh No", musicVideoDirector, Oli Sykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oli Sykes Context triple: ["Oh No", musicVideoDirector, Oli Sykes]
-
A.
Oli Sykes
chosen
Oli Sykes is a British musician best known as the lead vocalist and primary songwriter of the rock band Bring Me the Horizon.
-
B.
Jon Davison
Jon Davison is a British video game journalist and media executive known for his work at outlets such as GamePro, 1UP, and IGN.
-
C.
Jon Davison
Jon Davison is an American musician best known as the lead vocalist of the progressive rock band Yes.
-
D.
Jon Davison
Jon Davison is an American film producer best known for his work on satirical and science fiction films such as "Starship Troopers" and "RoboCop."
-
E.
Wally Sykes
Wally Sykes is a British sport shooter known for competing in international clay pigeon shooting events, including the Olympic Games.
- 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_69ffbe6cd5a881908716f1dcf7d77004 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.