Triple
T27987477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portraits of Virginia Woolf |
E706781
|
entity |
| Predicate | hasSubjectMovement |
P191881
|
FINISHED |
| Object | modernism |
—
|
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: modernism | Statement: [Portraits of Virginia Woolf, hasSubjectMovement, modernism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectMovement Context triple: [Portraits of Virginia Woolf, hasSubjectMovement, modernism]
-
A.
haveMovementFor
Indicates that an entity exhibits or is assigned a specific type or pattern of movement in relation to another entity or context.
-
B.
isMovementOf
Indicates that one entity represents the motion, relocation, or change of position of another entity.
-
C.
subjectMovement
Indicates that the subject changes its position or location, capturing the action or process of moving.
-
D.
hasHumanSubject
Indicates that an entity serves as the human participant or subject involved in an action, event, or relation.
-
E.
hasSubjectActivity
Indicates that an entity is associated with or participates in a particular activity as its subject.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: April 27, 2026, 7:48 p.m.