Triple
T20448362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Riverdales |
E501577
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Justin Perkins |
—
|
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: Justin Perkins | Statement: [The Riverdales, hasMember, Justin Perkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Perkins Context triple: [The Riverdales, hasMember, Justin Perkins]
-
A.
Justin Perkins
chosen
Justin Perkins is an American musician and producer best known for his work in punk rock, including playing bass for the influential band Screeching Weasel.
-
B.
Ian Perkins
Ian Perkins is a British guitarist best known for his work with The Horrible Crowes, the side project of The Gaslight Anthem’s Brian Fallon.
-
C.
Jamie Perkins
Jamie Perkins is a musician best known as a member of the band Oh My Lord.
-
D.
Mo Perkins
Mo Perkins is an American filmmaker best known for her independent drama film "A Quiet Little Marriage."
-
E.
Justin O’Brien
Justin O’Brien was an American scholar and translator best known for his influential English translations of Albert Camus’s works, which helped introduce the French existentialist writer to a broad Anglophone audience.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cff1bcc8190bfc843686be117cb |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.