Triple
T30824477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard to Be a God |
E785015
|
entity |
| Predicate | principalPhotographyDurationYears |
P171317
|
FINISHED |
| Object | about 6 |
—
|
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: about 6 | Statement: [Hard to Be a God, principalPhotographyDurationYears, about 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principalPhotographyDurationYears Context triple: [Hard to Be a God, principalPhotographyDurationYears, about 6]
-
A.
activeYearsInFilm
Indicates the span of years during which an entity was actively involved in film-related work or roles.
-
B.
portrayalDurationYears
Indicates the number of years an entity has continuously portrayed or represented another entity or role.
-
C.
directorTenure
Indicates the period of time during which a specific individual serves as the director of an organization, project, or production.
-
D.
premiereWorkYear
Indicates the year in which a work (such as a performance, film, or composition) was first premiered or publicly presented.
-
E.
cinematographerOfWork
Indicates that a person served as the cinematographer (director of photography) for a specific creative work.
- F. None of above. chosen
Provenance (4 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_69f224b6642481909e8d701de2cd1a53 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 8:44 p.m.