Triple
T21734139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O.C. |
E536478
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Smoke and Mirrors |
—
|
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: Smoke and Mirrors | Statement: [O.C., album, Smoke and Mirrors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke and Mirrors Context triple: [O.C., album, Smoke and Mirrors]
-
A.
Smoke and Mirrors
"Smoke and Mirrors" is a collection of dark fantasy and speculative short stories by Neil Gaiman that blends myth, horror, and contemporary life.
-
B.
Smoke & Mirrors
Smoke & Mirrors is an album by American producer and DJ RJD2, showcasing his sample-based, genre-blending instrumental hip hop style.
-
C.
Smoke & Mirrors
Smoke & Mirrors is a hard-rock album by New Zealand band The Datsuns, showcasing their riff-driven, retro-influenced rock sound.
-
D.
Smoke & Mirrors
chosen
Smoke & Mirrors is a 2010 rock album by the American band Lifehouse, known for its melodic hooks and radio-friendly alternative rock sound.
-
E.
Smoke And Mirrors
Smoke And Mirrors is an album by the American indie rock band The Casket Lottery, showcasing their emotive, melodic post-hardcore sound.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd09852c8190b3486c09f22ef92b |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.