Triple
T11430170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of the Artist's Mother |
E270856
|
entity |
| Predicate | sitterRelation |
P75214
|
FINISHED |
| Object | mother of James McNeill Whistler |
—
|
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: mother of James McNeill Whistler | Statement: [Portrait of the Artist's Mother, sitterRelation, mother of James McNeill Whistler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sitterRelation Context triple: [Portrait of the Artist's Mother, sitterRelation, mother of James McNeill Whistler]
-
A.
sitter
Indicates that one entity is serving as a caretaker or guardian, typically watching over or looking after another entity.
-
B.
sitterNationality
Indicates the national identity or citizenship of the person who is sitting for a portrait or being depicted.
-
C.
sitterStatus
Indicates the current role, availability, or engagement state of a sitter in relation to a sitting arrangement or service.
-
D.
parentRelationship
chosen
Indicates a familial relationship in which one entity is the parent of another entity.
-
E.
identityRelation
Indicates that two entities are in fact the very same entity, not merely similar or equivalent.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c1bfb881909720c74fe0fa837f |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.