Triple
T4553244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day26 |
E120417
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Donnie Klang |
E451593
|
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: Donnie Klang | Statement: [Day26, associatedAct, Donnie Klang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donnie Klang Context triple: [Day26, associatedAct, Donnie Klang]
-
A.
Donnie Klang
chosen
Donnie Klang is an American singer and former Making the Band contestant who launched a solo R&B/pop career under Diddy’s Bad Boy Records.
-
B.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
C.
Dave Keuning
Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
-
D.
Dan Jinks
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
-
E.
Donnie Wilson
Donnie Wilson is a skilled and street-smart member of an elite Los Angeles County Sheriff's Department unit in the action-crime film "Den of Thieves."
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd581160e08190b715a8ce5c3e6c9b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc56c0ce08190beb9d4f468b988f7 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:09 p.m.