Triple
T36498798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotte Stein |
E899265
|
entity |
| Predicate | notableOccupationEra |
P145778
|
FINISHED |
| Object | Weimar-era 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: Weimar-era cinema | Statement: [Lotte Stein, notableOccupationEra, Weimar-era cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOccupationEra Context triple: [Lotte Stein, notableOccupationEra, Weimar-era cinema]
-
A.
associatedWithNotableEra
Indicates that something has a significant connection or relevance to a historically or culturally notable period of time.
-
B.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
C.
notableEraNickname
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
D.
eraOfOccupation
chosen
Indicates the time period during which an occupation or role was held or practiced.
-
E.
notableLabelEra
Indicates the historical era or time period for which a label, title, or designation is considered notable or especially relevant.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.