Triple
T8840657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freq Nasty |
E210381
|
entity |
| Predicate | stageNameOf |
P7872
|
FINISHED |
| Object | Darin McFadyen |
E775873
|
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: Darin McFadyen | Statement: [Freq Nasty, stageNameOf, Darin McFadyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darin McFadyen Context triple: [Freq Nasty, stageNameOf, Darin McFadyen]
-
A.
Darin McFadyen
chosen
Darin McFadyen is a New Zealand-born DJ and producer best known for his breakbeat and electronic music work under the stage name Freq Nasty.
-
B.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
-
C.
Don McLeod
Don McLeod was a Canadian professional ice hockey goaltender best known for his standout play in the World Hockey Association during the 1970s.
-
D.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
E.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0171e98a081909875c96defaf9bfa |
completed | April 3, 2026, 7:38 p.m. |
Created at: March 30, 2026, 6:48 p.m.