Triple
T9131376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viola Davis as Susie Brown |
E219092
|
entity |
| Predicate | workDepicts |
P74686
|
FINISHED |
| Object | early life of James Brown |
—
|
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: early life of James Brown | Statement: [Viola Davis as Susie Brown, workDepicts, early life of James Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workDepicts Context triple: [Viola Davis as Susie Brown, workDepicts, early life of James Brown]
-
A.
workOftenDepicts
Indicates that one entity’s work frequently portrays, represents, or includes the other entity as a subject or theme.
-
B.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
C.
workEnvironmentDepiction
Indicates a depiction or representation of the conditions, atmosphere, or setting in which work or professional activities take place.
-
D.
appearsInWorkOfArt
chosen
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
E.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8ceea6c81909f368f12dac1649c |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.