Triple
T28134717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Stone: Night Passage |
E714166
|
entity |
| Predicate | mainCharacterSetting |
P90820
|
FINISHED |
| Object | small town |
—
|
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: small town | Statement: [Jesse Stone: Night Passage, mainCharacterSetting, small town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterSetting Context triple: [Jesse Stone: Night Passage, mainCharacterSetting, small town]
-
A.
characterSetting
chosen
Indicates that a character is associated with, appears in, or is situated within a particular setting or environment.
-
B.
mainCharacterField
Indicates that one entity is designated as the primary or central character associated with another entity, such as a work or narrative.
-
C.
mainCharacterCommunity
Indicates that a community is the primary social or group context associated with the main character in a narrative or work.
-
D.
mainSettlementsCharacter
Indicates that a settlement serves as a primary or defining location that characterizes a larger area, region, or context.
-
E.
mainProtagonistHome
Indicates the primary residence or home location associated with the main protagonist in a narrative or 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 9:49 p.m.