Triple
T6828212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Auster |
E157067
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E622138
|
NE FINISHED |
How this triple was built (4 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: [Paul Auster, notableWork, Smoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke Context triple: [Paul Auster, notableWork, Smoke]
-
A.
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.
-
B.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
C.
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.
-
D.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
-
E.
Cigarette
Cigarette is a minimalist steel sculpture by American artist Tony Smith, known for its towering, monolithic form and exploration of geometric abstraction in public space.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Smoke Triple: [Paul Auster, notableWork, Smoke]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smoke Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
D.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
-
E.
Cigarette
Cigarette is a minimalist steel sculpture by American artist Tony Smith, known for its towering, monolithic form and exploration of geometric abstraction in public space.
- F. None of above. chosen
Provenance (5 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6254bd88190a2a424537c2c12e2 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f49bdc8190af39b34dbaf3f0c9 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c724d7f0308190abb494ea663ceeb9 |
completed | March 28, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c72568866c8190bf88a02e566d5c3a |
completed | March 28, 2026, 12:48 a.m. |
Created at: March 27, 2026, 2:18 p.m.