Triple
T12151944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Patterson |
E289476
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Holy Smoke! |
E322762
|
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: Holy Smoke! | Statement: [Janet Patterson, workedOn, Holy Smoke!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holy Smoke! Context triple: [Janet Patterson, workedOn, Holy Smoke!]
-
A.
Holy Smoke!
chosen
Holy Smoke! is a 1999 psychological drama film directed by Jane Campion that explores obsession, spirituality, and power dynamics through an intense relationship between a young woman and a cult deprogrammer.
-
B.
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.
-
C.
Smokin'
Smokin' is the blues-rock debut album by American guitarist and singer Jonny Lang, showcasing his prodigious talent at a very young age.
-
D.
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.
-
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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a80aa6881908111cc47b5fe8b9e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.