Triple
T30290592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Friends & Neighbors |
E770358
|
entity |
| Predicate | hasScreenplayStructure |
P86551
|
FINISHED |
| Object | ensemble cast |
—
|
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: ensemble cast | Statement: [Your Friends & Neighbors, hasScreenplayStructure, ensemble cast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenplayStructure Context triple: [Your Friends & Neighbors, hasScreenplayStructure, ensemble cast]
-
A.
hasScreenplayStyle
Indicates that an entity is associated with or characterized by a particular style or manner of screenplay writing.
-
B.
hasDramaticStructure
chosen
Indicates that something possesses or follows a specific dramatic structure, such as an organized sequence of narrative or theatrical elements (e.g., exposition, climax, resolution).
-
C.
hasFilmStructure
Indicates that one entity possesses or is organized according to the narrative or formal structure of a film.
-
D.
hasScreenwriter
Indicates that a creative work is associated with the person or entity who wrote its screenplay or script.
-
E.
screenplayDevelopment
Indicates a relationship where a screenplay is being created, refined, or otherwise developed, typically through writing, revising, or collaborative work.
- 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 29, 2026, 7:47 p.m.