Triple
T20474620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prez |
E502277
|
entity |
| Predicate | bearerEraOfActivity |
P45464
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Prez, bearerEraOfActivity, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerEraOfActivity Context triple: [Prez, bearerEraOfActivity, 1930s]
-
A.
timePeriodOfNotableBearer
chosen
Indicates the span of time during which a notable bearer is recognized as having held, embodied, or been associated with the subject.
-
B.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
C.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
D.
appliesToEra
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
E.
measurementERA
Indicates a relationship where an entity’s earned run average (ERA) is recorded or associated as its measurement value.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e699639eec81908f8bd24877b2b876 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.