Triple
T37407041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent van Gogh in Provence |
E929159
|
entity |
| Predicate | portraysPhaseOfCareer |
P131944
|
FINISHED |
| Object | Van Gogh’s mature period |
—
|
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: Van Gogh’s mature period | Statement: [Vincent van Gogh in Provence, portraysPhaseOfCareer, Van Gogh’s mature period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysPhaseOfCareer Context triple: [Vincent van Gogh in Provence, portraysPhaseOfCareer, Van Gogh’s mature period]
-
A.
depictsCareerStage
chosen
Indicates that one entity visually represents or portrays a particular stage or phase in another entity’s career or professional development.
-
B.
showsCareerPhaseOf
Indicates that something depicts or represents a particular phase or stage in an entity’s career.
-
C.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
D.
portraysProfession
Indicates that one entity depicts or represents another entity in a specific profession or occupational role.
-
E.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: May 3, 2026, 4:16 p.m.