Triple
T34999775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Deane |
E1009638
|
entity |
| Predicate | appearsInChapterGrouping |
P179350
|
FINISHED |
| Object | family and social life episodes in The Mill on the Floss |
—
|
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: family and social life episodes in The Mill on the Floss | Statement: [Mrs. Deane, appearsInChapterGrouping, family and social life episodes in The Mill on the Floss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInChapterGrouping Context triple: [Mrs. Deane, appearsInChapterGrouping, family and social life episodes in The Mill on the Floss]
-
A.
gameChapter
Indicates that one entity is a chapter, level, or segment that forms part of the progression or structure of a game.
-
B.
chapterAppearance
chosen
Indicates that an entity appears or is present in a specific chapter of a work.
-
C.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
D.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
E.
gameChapterRelevance
Indicates how strongly a particular chapter is related or important to a specific game.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: May 3, 2026, 4:01 p.m.