Triple
T11776978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Virginia Woolf |
E280041
|
entity |
| Predicate | depictedPersonMovement |
P101532
|
FINISHED |
| Object | literary 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: literary modernism | Statement: [Portrait of Virginia Woolf, depictedPersonMovement, literary modernism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedPersonMovement Context triple: [Portrait of Virginia Woolf, depictedPersonMovement, literary modernism]
-
A.
movementDepicted
Indicates that some form of motion or change in position is visually represented or illustrated.
-
B.
refersToPersonMovement
Indicates that one entity is referencing, describing, or otherwise relating to the physical movement or relocation of a person.
-
C.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
D.
describesMovement
Indicates that an entity undergoes or performs a change of position or location, capturing how it moves from one place or state to another.
-
E.
roleInMovement
Indicates the specific function, position, or contribution an entity has within a broader movement or collective effort.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
| PDg | Predicate description generation | batch_69d8a8c07d648190b8650d31f3a15090 |
completed | April 10, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:42 p.m.