Triple
T36857181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dog statue |
E910827
|
entity |
| Predicate | commemorativeSubjectOccupation |
P44959
|
FINISHED |
| Object | wandering dog |
—
|
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: wandering dog | Statement: [Red Dog statue, commemorativeSubjectOccupation, wandering dog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemorativeSubjectOccupation Context triple: [Red Dog statue, commemorativeSubjectOccupation, wandering dog]
-
A.
commemoratedPersonOccupation
Indicates the occupation or professional role held by the person who is being commemorated.
-
B.
honouredPersonOccupation
Indicates that the honored person is or was associated with a particular occupation or professional role.
-
C.
isCommemorationSubject
Indicates that an entity serves as the focus or object of a commemorative act, event, or artifact.
-
D.
hasTypeOfPersonCommemorated
chosen
Indicates that something is associated with or dedicated to a person of a specified type or role being commemorated.
-
E.
hasBiographicalSubjectOccupation
Indicates that the biographical subject is or was engaged in the specified occupation or profession.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.