Triple
T34738393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frieder |
E1001417
|
entity |
| Predicate | hasNotableTimePeriod |
P116486
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Frieder, hasNotableTimePeriod, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableTimePeriod Context triple: [Frieder, hasNotableTimePeriod, 20th century]
-
A.
hasNotabilityPeriod
chosen
Indicates the time span during which an entity is or was notable or prominent.
-
B.
hasNotableRecordingPeriod
Indicates that an entity is associated with a specific time span during which notable recording activity took place.
-
C.
hasPeriodOf
Indicates that one entity possesses, experiences, or is associated with a specific span or interval of time.
-
D.
notablePeriodOfInterest
Indicates a time span that is particularly significant or noteworthy in relation to the subject.
-
E.
hasNotableYear
Indicates that an entity is associated with a specific year that is particularly significant or noteworthy for it.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a03433dd64c8190ab620709153b6278 |
completed | May 12, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_6a034107e53881909127bac98cac3429 |
completed | May 12, 2026, 3:02 p.m. |
Created at: May 3, 2026, 3:59 p.m.