Triple
T35272256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn, New York (fictionalized) |
E1018699
|
entity |
| Predicate | screenRepresentation |
P113556
|
FINISHED |
| Object | studio sets |
—
|
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: studio sets | Statement: [Brooklyn, New York (fictionalized), screenRepresentation, studio sets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenRepresentation Context triple: [Brooklyn, New York (fictionalized), screenRepresentation, studio sets]
-
A.
visualDepictionOnScreen
chosen
Indicates that one entity is visually shown or rendered on a screen as a depiction of another entity.
-
B.
screensOut
Indicates that one entity filters, excludes, or prevents another entity from passing through, being considered, or having an effect.
-
C.
screensAt
Indicates that one entity shows, projects, or displays another entity (such as a film, program, or content) on a screen or at a screening venue.
-
D.
screenPortrayalRecognizedBy
Indicates that a particular on-screen portrayal (such as a performance or depiction in film/TV) has been formally acknowledged or honored by a specific recognizing party (e.g., an award body, festival, or organization).
-
E.
imageRepresentation
Indicates that one entity serves as a visual depiction or graphical representation of another entity.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:02 p.m.