Triple
T21017746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Vernon |
E517723
|
entity |
| Predicate | hasPartInLife |
P142490
|
FINISHED |
| Object | English Civil War era |
—
|
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: English Civil War era | Statement: [George Vernon, hasPartInLife, English Civil War era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInLife Context triple: [George Vernon, hasPartInLife, English Civil War era]
-
A.
hasAdultLifeIn
Indicates that an entity spends or experiences its adult stage of life within a specified location or environment.
-
B.
hasRoleInLifeOf
Indicates that one entity plays a particular role or function in the life or personal experience of another entity.
-
C.
hasPersonalLife
Indicates that an entity has aspects, activities, or relationships belonging to its private or non-professional life.
-
D.
spentMostOfLifeIn
Indicates that an entity resided or was primarily based in a particular place for the majority of its lifetime.
-
E.
hasLifeRole
Indicates that an entity holds or has held a particular role, position, or function in someone’s life or within a life context.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5a27f08190b26828a6a7b59f7c |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:54 p.m.