Triple
T36191757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonfire |
E1047008
|
entity |
| Predicate | protagonistReturnsTo |
P185016
|
FINISHED |
| Object | rural hometown |
—
|
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: rural hometown | Statement: [Bonfire, protagonistReturnsTo, rural hometown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistReturnsTo Context triple: [Bonfire, protagonistReturnsTo, rural hometown]
-
A.
protagonistConfronts
Indicates that a main character directly faces and challenges another character, force, or problem in a conflictual encounter.
-
B.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
C.
protagonistJoins
Indicates that a protagonist becomes a member of, or aligns themselves with, a particular group, organization, or cause.
-
D.
protagonistLoses
Indicates that the main character in a narrative is defeated, fails, or otherwise does not achieve their primary goal.
-
E.
returnsToIslandOn
Indicates that an entity goes back to a particular island on a specified time or occasion.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.