Triple
T17716340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Rozanov |
E442208
|
entity |
| Predicate | eraOfDepiction |
P31570
|
FINISHED |
| Object | 1960s Cold War cinema |
—
|
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: 1960s Cold War cinema | Statement: [Lieutenant Rozanov, eraOfDepiction, 1960s Cold War cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfDepiction Context triple: [Lieutenant Rozanov, eraOfDepiction, 1960s Cold War cinema]
-
A.
depictedPersonEra
Indicates the historical era or time period associated with the person depicted in an image or representation.
-
B.
eraDepicted
chosen
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
C.
yearDepicted
Indicates the specific year in which the subject is portrayed, represented, or set.
-
D.
eraOfFigure
Indicates the historical period or era during which a particular figure was active, influential, or primarily associated.
-
E.
releaseYearOfDepiction
Indicates the year in which the depicted event, scene, or representation was released or first made publicly available.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47480955481908fa0d3d34aaedd48 |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.