Triple
T25705795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longinus |
E644583
|
entity |
| Predicate | survivingWorkStatus |
P75578
|
FINISHED |
| Object | partially preserved |
—
|
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: partially preserved | Statement: [Longinus, survivingWorkStatus, partially preserved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingWorkStatus Context triple: [Longinus, survivingWorkStatus, partially preserved]
-
A.
survivingWorkForm
Indicates that one work is a surviving or extant form/version of another, typically when the original or earlier form is lost or no longer available.
-
B.
hasSurvivalStatus
Indicates the survival condition or outcome associated with an entity, such as whether it is alive, deceased, or in another defined survival state.
-
C.
extentOfSurvivalOfWork
chosen
Indicates the degree to which a work has been preserved or remains extant.
-
D.
hasWorkStatus
Indicates the current employment or occupational state associated with an entity, such as whether it is active, inactive, or in a specific work condition.
-
E.
survivingFrom
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc113b40819088a0d53c824097e4 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:04 p.m.