Triple
T14601775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dueling Cavalier |
E342720
|
entity |
| Predicate | depictsIndustryChange |
P44194
|
FINISHED |
| Object | advent of talking pictures |
—
|
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: advent of talking pictures | Statement: [The Dueling Cavalier, depictsIndustryChange, advent of talking pictures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsIndustryChange Context triple: [The Dueling Cavalier, depictsIndustryChange, advent of talking pictures]
-
A.
industryTransformed
Indicates that an entity has fundamentally changed the structure, practices, or dynamics of a particular industry.
-
B.
impactOnIndustry
chosen
Indicates the effect or influence that one entity, event, or action has on the state, performance, or development of an industry.
-
C.
targetIndustryDepicted
Indicates that an entity visually represents or portrays a specific industry as its primary subject or focus.
-
D.
hasIndustryDecline
Indicates that an entity is experiencing or associated with a reduction or downturn in its industry’s performance or activity.
-
E.
economicTransition
Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.