Triple
T28166695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Pakszwer Far |
E715344
|
entity |
| Predicate | significantRoleInLifeOf |
P95737
|
FINISHED |
| Object | Giorgio de Chirico |
—
|
NE NERFINISHED |
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: Giorgio de Chirico | Statement: [Isabella Pakszwer Far, significantRoleInLifeOf, Giorgio de Chirico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantRoleInLifeOf Context triple: [Isabella Pakszwer Far, significantRoleInLifeOf, Giorgio de Chirico]
-
A.
roleInIndividualLife
Indicates the specific function, influence, or involvement that one entity has within the personal life or experiences of another entity.
-
B.
hasRoleInLifeOf
chosen
Indicates that one entity plays a particular role or function in the life or personal experience of another entity.
-
C.
significantEventRole
Indicates that an entity plays an important or defining role in a particular significant event.
-
D.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
E.
positionOnHumanLife
Indicates a stance or viewpoint that an entity holds regarding the value, rights, or treatment of human life.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 10:10 p.m.