Triple
T3158441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Hagen as Lina Lamont |
E66045
|
entity |
| Predicate | basedOnIndustryTransition |
P44194
|
FINISHED |
| Object | silentFilmsToSoundFilms |
—
|
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: silentFilmsToSoundFilms | Statement: [Jean Hagen as Lina Lamont, basedOnIndustryTransition, silentFilmsToSoundFilms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnIndustryTransition Context triple: [Jean Hagen as Lina Lamont, basedOnIndustryTransition, silentFilmsToSoundFilms]
-
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.
economicTransition
Indicates a change in an entity’s economic system, structure, or status from one state or model to another.
-
D.
industryContext
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
E.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ed82a08190a1bdcf18ee593c79 |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.