Triple
T22559774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brain Drain |
E557779
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Daniel Rey |
—
|
NE NERFINISHED |
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: Daniel Rey | Statement: [Brain Drain, producer, Daniel Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Rey Context triple: [Brain Drain, producer, Daniel Rey]
-
A.
Daniel Rey
chosen
Daniel Rey is an American musician and record producer best known for his longtime collaboration with the Ramones and co-writing several of their songs.
-
B.
Daniel Rey
Daniel Rey is a central character in the horror film "Paranormal Activity 2," depicted as the patriarch of a family terrorized by escalating supernatural events captured on home security cameras.
-
C.
Daniel Desario
Daniel Desario is a charismatic but troubled high school "freak" portrayed by James Franco in the cult TV series Freaks and Geeks.
-
D.
Dan Navarro
Dan Navarro is an American singer-songwriter and voice actor best known for co-writing the hit song "We Belong," popularized by Pat Benatar.
-
E.
Don Reo
Don Reo is an American television writer and producer known for creating and working on numerous sitcoms and comedy series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7c914881909584c46ae323c779 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.