Triple
T33347021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carter Horton |
E853821
|
entity |
| Predicate | deathThemeInStory |
P165417
|
FINISHED |
| Object | cheating death |
—
|
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: cheating death | Statement: [Carter Horton, deathThemeInStory, cheating death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathThemeInStory Context triple: [Carter Horton, deathThemeInStory, cheating death]
-
A.
deathInFiction
Indicates that an entity’s death occurs within a fictional work or narrative rather than in real life.
-
B.
deathDescribedIn
Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
-
C.
deathTypeInFiction
Indicates the manner or category of how a character dies within a fictional narrative.
-
D.
deathNarrativeFunction
chosen
Indicates that a character’s death serves a specific narrative role or function within the story’s structure or themes.
-
E.
deathDescribedAs
Indicates that one entity characterizes, portrays, or refers to another entity’s death using a particular description, metaphor, or wording.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: May 1, 2026, 1:34 a.m.