Triple
T9283991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lost Honour of Katharina Blum |
E223138
|
entity |
| Predicate | timeSettingContext |
P20835
|
FINISHED |
| Object | Red Army Faction era in West Germany |
—
|
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: Red Army Faction era in West Germany | Statement: [The Lost Honour of Katharina Blum, timeSettingContext, Red Army Faction era in West Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSettingContext Context triple: [The Lost Honour of Katharina Blum, timeSettingContext, Red Army Faction era in West Germany]
-
A.
timeZoneContext
Indicates the time zone setting or context in which an event, action, or relationship is interpreted.
-
B.
timeProperty
Indicates that one entity specifies, constrains, or characterizes a temporal aspect or timing-related attribute of another entity.
-
C.
timeOfSetting
chosen
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
D.
timeSystem
Indicates a relationship where an entity uses, follows, or is defined within a particular system for measuring or organizing time.
-
E.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081e72988190917f425e64631837 |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.