Triple
T19328306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puzzle (2018 film) |
E483416
|
entity |
| Predicate | protagonistSocialContext |
P135632
|
FINISHED |
| Object | suburban life |
—
|
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: suburban life | Statement: [Puzzle (2018 film), protagonistSocialContext, suburban life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistSocialContext Context triple: [Puzzle (2018 film), protagonistSocialContext, suburban life]
-
A.
protagonistSocialType
Indicates the type of social role, status, or interaction style that the protagonist has within the context of the narrative or scenario.
-
B.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
C.
protagonistBackground
Indicates that one entity serves as the background, history, or prior circumstances of the protagonist entity in a narrative or story.
-
D.
protagonistDescription
Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
-
E.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163f32f48190be17cccf4e537372 |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4e4709d4481908c280cdd2ac18977 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:33 p.m.