Triple
T11171814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smoke |
E264289
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The Smoke (TV series) |
E264289
|
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: The Smoke (TV series) | Statement: [The Smoke, alsoKnownAs, The Smoke (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Smoke (TV series) Context triple: [The Smoke, alsoKnownAs, The Smoke (TV series)]
-
A.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
-
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
chosen
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
-
D.
After the Smoke Is Clear
"After the Smoke Is Clear" is a hip-hop track by Ironman, known for its gritty lyricism and atmospheric production.
-
E.
Holy Smoke
Holy Smoke is a novel by Cuban writer Guillermo Cabrera Infante that showcases his playful, experimental style and fascination with language and popular culture.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 8, 2026, 9:29 p.m.