Triple
T30556879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machin series |
E777721
|
entity |
| Predicate | portraitBasedOn |
P194707
|
FINISHED |
| Object | plaster cast by Arnold Machin |
—
|
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: plaster cast by Arnold Machin | Statement: [Machin series, portraitBasedOn, plaster cast by Arnold Machin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraitBasedOn Context triple: [Machin series, portraitBasedOn, plaster cast by Arnold Machin]
-
A.
portraitOn
Indicates that one entity is depicted as a portrait on the surface or medium of another entity.
-
B.
portraitSpecialization
Indicates that one entity specializes in creating or working with portraits, distinguishing a focused area of expertise within a broader artistic or professional domain.
-
C.
wasPhotographedAs
Indicates that one entity appears in a photograph specifically portraying them in the role, character, or identity of another entity.
-
D.
avatar
Indicates that one entity serves as a representation, embodiment, or proxy of another entity, often in a different form or medium.
-
E.
portraitArtist
Indicates that one entity is the artist who created a portrait depicting the other entity.
- 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
| PDg | Predicate description generation | batch_69fd82ebe1c081908455fc45b6e45178 |
completed | May 8, 2026, 6:30 a.m. |
Created at: April 29, 2026, 8:20 p.m.