Triple
T9429897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washed Out |
E227344
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Toro y Moi |
E747336
|
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: Toro y Moi | Statement: [Washed Out, associatedAct, Toro y Moi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toro y Moi Context triple: [Washed Out, associatedAct, Toro y Moi]
-
A.
Toro y Moi
chosen
Toro y Moi is the stage name of American musician and producer Chaz Bear, known for pioneering the chillwave genre and blending indie pop, electronic, and R&B influences.
-
B.
Ty Segall
Ty Segall is an American musician and songwriter known for his prolific, fuzz-drenched garage rock and psychedelic releases, as well as his energetic live performances.
-
C.
A.R. Skuggs
A.R. Skuggs is the central protagonist of the film "Sugar Hill," around whom the story’s main events and conflicts revolve.
-
D.
Dorian Electra
Dorian Electra is an American singer, songwriter, and performance artist known for their experimental hyperpop sound and explorations of gender and identity.
-
E.
Brooklynn Prince
Brooklynn Prince is an American child actress best known for her critically acclaimed breakout performance in the film "The Florida Project."
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.