Triple
T16386060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernon Tull |
E397924
|
entity |
| Predicate | appearsInChapterStructureOf |
P36548
|
FINISHED |
| Object | multiple monologue sections in As I Lay Dying |
—
|
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: multiple monologue sections in As I Lay Dying | Statement: [Vernon Tull, appearsInChapterStructureOf, multiple monologue sections in As I Lay Dying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInChapterStructureOf Context triple: [Vernon Tull, appearsInChapterStructureOf, multiple monologue sections in As I Lay Dying]
-
A.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
B.
gameChapter
Indicates that one entity is a chapter, level, or segment that forms part of the progression or structure of a game.
-
C.
foundInChapter
chosen
Indicates that something (such as a concept, section, or element) is contained within or occurs in a specific chapter.
-
D.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
E.
basedOnChapter
Indicates that something (such as a work, section, or element) is derived from, adapted from, or primarily informed by a specific chapter.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.