Triple
T22940044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George E. Stone |
E569698
|
entity |
| Predicate | filmIndustryCareerStart |
P118463
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [George E. Stone, filmIndustryCareerStart, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmIndustryCareerStart Context triple: [George E. Stone, filmIndustryCareerStart, 1920s]
-
A.
filmIndustryDebut
chosen
Indicates the event or point in time when an entity first appears or participates in the film industry, such as through a first film role, production, or related professional activity.
-
B.
originatesInFilmIndustry
Indicates that something has its source, development, or primary origin within the film industry.
-
C.
occupationInFilm
Indicates that an entity has a specific occupation or role within the context of a particular film.
-
D.
characterIndustry
Indicates a relationship where a character is associated with, works in, or is otherwise linked to a particular industry or economic sector.
-
E.
startedActingCareer
Indicates that an entity began their professional work or involvement in acting at a specific time or event.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813844b88190b05d3829b0c423c4 |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.