Triple
T22250990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristina Sunshine Jung |
E549976
|
entity |
| Predicate | appearsAsCharacterIn |
P12208
|
FINISHED |
| Object | "Blow" |
E826928
|
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: "Blow" | Statement: [Kristina Sunshine Jung, appearsAsCharacterIn, "Blow"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Blow" Context triple: [Kristina Sunshine Jung, appearsAsCharacterIn, "Blow"]
-
A.
The Blow
The Blow is an American indie pop band known for its minimalist electronic sound and introspective, narrative-driven lyrics.
-
B.
Blow at High Dough
"Blow at High Dough" is a popular rock song by Canadian band The Tragically Hip, known for its driving guitar riffs and vivid, narrative lyrics.
-
C.
Blow Out
Blow Out is a 1981 neo-noir political thriller film directed by Brian De Palma, known for its suspenseful blend of conspiracy, sound design, and psychological tension.
-
D.
Blow
Blow is a track by the American heavy metal band Bastard, known for its aggressive sound and raw energy.
-
E.
Blow
chosen
"Blow" is a disco-funk inspired song by Beyoncé, known for its sensual lyrics, retro production, and vibrant roller-disco themed visuals.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138befa208190877760dec1896740 |
completed | April 28, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab6606be48190bf16d33ca2261ca6 |
completed | May 18, 2026, 6:49 a.m. |
Created at: April 16, 2026, 8:39 p.m.