Triple
T20453236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blush |
E501707
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Window Seat |
—
|
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: Window Seat | Statement: [Blush, hasPart, Window Seat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Window Seat Context triple: [Blush, hasPart, Window Seat]
-
A.
Window Seat
chosen
"Window Seat" is a neo-soul single by Erykah Badu, known for its mellow, introspective vibe and its controversial, symbolism-rich music video.
-
B.
Seat
SEAT is a Spanish automobile manufacturer known for producing a range of affordable, stylish cars within the Volkswagen Group.
-
C.
Love Seat
"Love Seat" is an EP by the indie pop band The Softies, showcasing their gentle, melancholic melodies and intimate lo-fi sound.
-
D.
Backseat
"Backseat" is a 2011 electro-pop/hip-hop single by New Boyz featuring The Cataracs and Dev, known for its club-ready beat and catchy hook.
-
E.
From a Window Seat
"From a Window Seat" is an indie rock song by Dawes, featured on their 2013 album "Stories Don’t End."
- 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_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.