Triple
T13259655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debby Ryan |
E315753
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Josh Dun |
E488750
|
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: Josh Dun | Statement: [Debby Ryan, spouse, Josh Dun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Dun Context triple: [Debby Ryan, spouse, Josh Dun]
-
A.
Josh Dun
chosen
Josh Dun is an American musician best known as the drummer of the musical duo Twenty One Pilots.
-
B.
Damian Kulash
Damian Kulash is an American musician best known as the lead singer and guitarist of the rock band OK Go, recognized for their innovative and visually inventive music videos.
-
C.
Guy Berryman
Guy Berryman is a Scottish-born musician best known as the bassist of the British rock band Coldplay.
-
D.
Jerry Finn
Jerry Finn was an influential American record producer and engineer best known for shaping the polished pop-punk sound of bands like Blink-182, Green Day, and AFI.
-
E.
Nate Ruess
Nate Ruess is an American singer-songwriter best known as the lead vocalist of the band fun. and for his hit collaborations in pop music.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4612cc8190b45673a3994cee18 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.