Triple
T9576300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt the Dreamer statue |
E231053
|
entity |
| Predicate | hasSubjectExpression |
P43783
|
FINISHED |
| Object | contemplative |
—
|
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: contemplative | Statement: [Walt the Dreamer statue, hasSubjectExpression, contemplative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectExpression Context triple: [Walt the Dreamer statue, hasSubjectExpression, contemplative]
-
A.
hasSubjectPosition
Indicates that an entity occupies or is assigned to a particular subject role or position within a structure, context, or organization.
-
B.
hasExpression
chosen
Indicates that an entity displays or possesses a particular facial or emotional expression.
-
C.
hasSubjectPlace
Indicates that something is associated with or occurs in a particular subject-related place or location.
-
D.
hasCoreExpression
Indicates that one entity serves as the fundamental or primary expression or representation of another entity.
-
E.
hasTypicalSubject
Indicates that something is commonly or characteristically used as the subject (agent or topic) of a given relation or action.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.