Triple
T589951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drag City |
E17244
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Smog |
E16362
|
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: Smog | Statement: [Drag City, hasArtist, Smog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smog Context triple: [Drag City, hasArtist, 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.
Inhale
"Inhale" is a track by Q-Tip featured on his 2008 album "The Renaissance," which is included as part of the single release "Universal Mind Control."
-
C.
Smoke
Smoke is a large-scale modern sculpture by American artist Tony Smith, renowned for its monumental geometric form and prominent installation at the Los Angeles County Museum of Art.
-
D.
Churban
Churban is a Jewish term referring to the destruction of the Temple in Jerusalem and, by extension, catastrophic national calamities in Jewish history.
-
E.
Green City in the Sun
Green City in the Sun is a popular nickname for Nairobi, highlighting the Kenyan capital’s lush greenery and warm, sunny climate.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb775fc819085b968f8615dca59 |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5103be4b881908fcd20c4c781c0a0 |
completed | March 2, 2026, 4:21 a.m. |
Created at: March 1, 2026, 7:33 p.m.