Triple
T31982662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R.J. |
E816626
|
entity |
| Predicate | hasPortrayalFormat |
P80112
|
FINISHED |
| Object | on-screen performance |
—
|
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: on-screen performance | Statement: [R.J., hasPortrayalFormat, on-screen performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortrayalFormat Context triple: [R.J., hasPortrayalFormat, on-screen performance]
-
A.
portrayalFormat
chosen
Indicates the medium or format in which something is portrayed or represented (e.g., painting, sculpture, film, digital).
-
B.
hasPortrayalQuality
Indicates that something possesses a particular characteristic or standard of quality in how it is portrayed or represented.
-
C.
hasScreenPortrayal
Indicates that an entity is depicted or represented by a specific on-screen performance or portrayal, such as in film, television, or other visual media.
-
D.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
-
E.
hasYoungPortrayalOf
Indicates that one entity is a portrayal or depiction of another entity specifically in their younger age or earlier life stage.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: May 1, 2026, 12:12 a.m.