Triple
T19178077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea of Thirst |
E469490
|
entity |
| Predicate | dangerToCharacters |
P47376
|
FINISHED |
| Object | risk of suffocation |
—
|
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: risk of suffocation | Statement: [Sea of Thirst, dangerToCharacters, risk of suffocation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dangerToCharacters Context triple: [Sea of Thirst, dangerToCharacters, risk of suffocation]
-
A.
threatInStory
Indicates that one entity poses or represents a danger, menace, or harmful intent toward another entity within the context of a narrative or story.
-
B.
threatToHumans
chosen
Indicates that the subject poses or represents a potential danger, harm, or risk to humans.
-
C.
dangerousWhen
Indicates that one entity becomes harmful, risky, or unsafe under the conditions or in the presence of another entity or situation.
-
D.
threatenedByInFiction
Indicates that, within a fictional context, one entity is portrayed as being threatened by another entity.
-
E.
targetsCharacter
Indicates that one entity is the intended focus or target of another entity’s action, effect, or behavior.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f619c60c81909d11489525add829 |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.