Triple
T15622492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Addie Bundren |
E375591
|
entity |
| Predicate | statusForMostOfNovel |
P106839
|
FINISHED |
| Object | deceased |
—
|
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: deceased | Statement: [Addie Bundren, statusForMostOfNovel, deceased]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusForMostOfNovel Context triple: [Addie Bundren, statusForMostOfNovel, deceased]
-
A.
statusAtEndOfNovel
chosen
Indicates the final state or condition of an entity as it stands at the conclusion of the novel.
-
B.
storyStatus
Indicates the current state or phase of a story within its lifecycle (e.g., planned, in progress, completed, or archived).
-
C.
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.
-
D.
statusAfterEarlyChapters
Indicates the condition or state something is in following the initial or early chapters of a work or process.
-
E.
isLastPublishedNovelOf
Indicates that one entity is the most recently published novel authored by another entity.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.