Triple
T564577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophroniscus |
E13524
|
entity |
| Predicate | sourceType |
P10683
|
FINISHED |
| Object | historically obscure figure |
—
|
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: historically obscure figure | Statement: [Sophroniscus, sourceType, historically obscure figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceType Context triple: [Sophroniscus, sourceType, historically obscure figure]
-
A.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
sourceMaterialType
chosen
Indicates the type or category of material from which something originates or is derived.
-
C.
sourceState
Indicates the original or starting state from which a transition, change, or process begins.
-
D.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
E.
derivationType
Indicates the specific manner or process by which one entity is derived or obtained from another.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a735b2881908293ad21ad41cdd6 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.