Triple
T20467258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitchell Amundsen |
E502083
|
entity |
| Predicate | notableForTechnicalStyle |
P95557
|
FINISHED |
| Object | handheld camera work |
—
|
LITERAL 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: handheld camera work | Statement: [Mitchell Amundsen, notableForTechnicalStyle, handheld camera work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForTechnicalStyle Context triple: [Mitchell Amundsen, notableForTechnicalStyle, handheld camera work]
-
A.
notableStyleFeature
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
B.
notableTechnicalFeature
chosen
Indicates that an entity possesses a significant or distinguishing technical characteristic or capability.
-
C.
notableSubstyle
Indicates that one style is a notable or distinct subcategory within another broader style.
-
D.
notableWorkStyle
Indicates a stylistic characteristic or distinctive manner associated with a notable work created by the subject.
-
E.
hasEngineeringStyle
Indicates that an entity possesses or exhibits a particular engineering approach, methodology, or design style in how it is created, structured, or operates.
- F. None of above.
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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995d9d1c81909ee223a35a0850ba |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.