Triple
T12773720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunstan Cass |
E305313
|
entity |
| Predicate | statusAtEndOfNovel |
P106839
|
FINISHED |
| Object | dead |
—
|
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: dead | Statement: [Dunstan Cass, statusAtEndOfNovel, dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAtEndOfNovel Context triple: [Dunstan Cass, statusAtEndOfNovel, dead]
-
A.
statusAfterEarlyChapters
Indicates the condition or state something is in following the initial or early chapters of a work or process.
-
B.
isFinalChapterOf
Indicates that one entity is the concluding or last chapter within the sequence of chapters of another entity (typically a work or volume).
-
C.
statusAtEndOfFilm
Indicates the condition or situation an entity is in when the film concludes.
-
D.
narrativeStatus
Indicates the role or state of an element within a narrative, such as whether it is current, hypothetical, background, or otherwise positioned in the story’s progression.
-
E.
storyStatus
Indicates the current state or phase of a story within its lifecycle (e.g., planned, in progress, completed, or archived).
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.