Triple
T17379342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaslighter |
E422524
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Sleep at Night |
—
|
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: Sleep at Night | Statement: [Gaslighter, track, Sleep at Night]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sleep at Night Context triple: [Gaslighter, track, Sleep at Night]
-
A.
Sleep at Night
chosen
"Sleep at Night" is a song by the American country music group Dixie Chicks (now The Chicks), featured on their 2020 album "Gaslighter."
-
B.
Sleep Tonight
"Sleep Tonight" is a song by the American rock band Steely Dan, featured on their 1972 debut album "Can't Buy a Thrill."
-
C.
Sleep on It
"Sleep on It" is a song by American R&B singer Chaka Khan.
-
D.
Sleepless Nights
Sleepless Nights is a fragmentary, autobiographical novel by Elizabeth Hardwick that blends memory, essay, and fiction into a lyrical meditation on a woman’s life and relationships.
-
E.
Sleepless Nights
Sleepless Nights is a renowned photography book by Helmut Newton that showcases his provocative, stylized fashion and erotic imagery.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a840cd08190af3385388afb8c8f |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.