Triple
T8207456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Richest Girl in the World |
E191721
|
entity |
| Predicate | hasScreenplayStyle |
P81498
|
FINISHED |
| Object | witty dialogue |
—
|
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: witty dialogue | Statement: [The Richest Girl in the World, hasScreenplayStyle, witty dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenplayStyle Context triple: [The Richest Girl in the World, hasScreenplayStyle, witty dialogue]
-
A.
hasScreenwriter
Indicates that a creative work is associated with the person or entity who wrote its screenplay or script.
-
B.
hasFilmStyle
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
C.
screenplayWrittenFor
Indicates that a screenplay was written specifically for a particular film, show, or production.
-
D.
screenplayBy
Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
-
E.
screenplayType
Indicates the specific category or format of a screenplay associated with a work or production.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726d26ec8190957da68227f5ce61 |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:43 p.m.