Triple
T31270772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interior with Reading Woman |
E797378
|
entity |
| Predicate | activityOfMainSubject |
P40655
|
FINISHED |
| Object | reading |
—
|
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: reading | Statement: [Interior with Reading Woman, activityOfMainSubject, reading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activityOfMainSubject Context triple: [Interior with Reading Woman, activityOfMainSubject, reading]
-
A.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
B.
activityFocus
Indicates that an activity is primarily directed toward, centered on, or concerned with a particular object, topic, or goal.
-
C.
activityCorrelatesWith
Indicates that the level or occurrence of one activity is statistically associated with the level or occurrence of another activity, without implying direct causation.
-
D.
majorActivity
chosen
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
E.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 29, 2026, 9:13 p.m.