Triple
T10903392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kneeling |
E257503
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Smoke |
E35204
|
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: Smoke | Statement: [The Kneeling, follows, Smoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke Context triple: [The Kneeling, follows, Smoke]
-
A.
Smoke
chosen
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.
-
B.
Smoke
Smoke is a 1995 independent film directed by Wayne Wang and written by Paul Auster, known for its interwoven, character-driven stories set around a Brooklyn cigar shop.
-
C.
Smoke Stack
Smoke Stack is a 1963 avant-garde jazz album by pianist Andrew Hill, noted for its innovative compositions and unconventional dual-bass lineup.
-
D.
Cigaret
Cigaret is a brash, young hobo who serves as a central foil and apprentice figure to the seasoned drifter A No. 1 in the 1973 film "Emperor of the North."
-
E.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a5dffc8190927b0928978646a4 |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1553bb88c8190b9730a31977e1dd1 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.