Triple
T10047414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Kershner |
E207650
|
entity |
| Predicate | historicalDocumentationLevel |
P91820
|
FINISHED |
| Object | sparsely documented |
—
|
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: sparsely documented | Statement: [Jacob Kershner, historicalDocumentationLevel, sparsely documented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalDocumentationLevel Context triple: [Jacob Kershner, historicalDocumentationLevel, sparsely documented]
-
A.
historicalLevel
Indicates the degree or extent to which something is related to, situated in, or characterized by a particular historical period or context.
-
B.
historicallyDocumentedBy
Indicates that information about an entity or event is recorded or attested in a specific historical document or source.
-
C.
historicalEvidence
Indicates that there exists documented or otherwise verifiable information supporting the occurrence, authenticity, or truth of a past event, state, or relationship between entities.
-
D.
historicalType
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
-
E.
historicalRecord
Indicates that there exists a documented account or record capturing information about an entity, event, or relationship from the past.
- F. None of above. chosen
Provenance (4 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:56 p.m.