Triple
T18660018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Barrat |
E456166
|
entity |
| Predicate | active years in film |
P15974
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Robert Barrat, active years in film, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: active years in film Context triple: [Robert Barrat, active years in film, 1930s]
-
A.
activeYearsInFilm
chosen
Indicates the span of years during which an entity was actively involved in film-related work or roles.
-
B.
hasFilmCareer
Indicates that an entity has been professionally involved in the film industry as a career.
-
C.
activeYearsPeak
Indicates the span of years during which an entity was at the height of its activity or prominence.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e550889580819090ceb0ea4c93acc7 |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.