Triple
T8904116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straight No Chaser (album) |
E212006
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | White Lies (song) |
E766512
|
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: White Lies (song) | Statement: [Straight No Chaser (album), hasSingle, White Lies (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Lies (song) Context triple: [Straight No Chaser (album), hasSingle, White Lies (song)]
-
A.
White Lies
"White Lies" is a song by British musician Mr Hudson that showcases his blend of pop, R&B, and electronic influences.
-
B.
single "White Lies"
chosen
"White Lies" is a pop single by British singer-songwriter and producer Benjamin Hudson McIldowie, better known as Mr Hudson.
-
C.
Dirty White Boots
"Dirty White Boots" is a song by the American rock band Strut, known for its gritty guitar-driven sound and energetic style.
-
D.
The Temper Trap
The Temper Trap is an Australian indie rock band best known for their atmospheric sound and the hit single "Sweet Disposition."
-
E.
Girl in White
Girl in White is a late-period painting by Vincent van Gogh, notable for its expressive brushwork and emotional intensity characteristic of his final works.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c2509881908fb692522d348e96 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1cb724c8190bc080d2a7f751e60 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:55 p.m.