Triple
T17638395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynthia Dall (album) |
E429157
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Smog |
—
|
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: Smog | Statement: [Cynthia Dall (album), associatedAct, Smog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smog Context triple: [Cynthia Dall (album), associatedAct, Smog]
-
A.
Smog
chosen
Smog is the lo-fi indie rock project of American singer-songwriter Bill Callahan, known for its sparse arrangements and introspective, deadpan lyricism.
-
B.
Haze
Haze is the surname of Dolores "Lolita" Haze, the fictional adolescent protagonist of Vladimir Nabokov’s novel "Lolita."
-
C.
Fog
"Fog" is a brief, imagistic poem by Carl Sandburg that famously compares fog to a silent cat, exemplifying his modern, accessible style.
-
D.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
E.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de2c85c819087e17a9ff93e4964 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6 a.m.