Triple
T13891758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendon Hall (family estate) |
E333988
|
entity |
| Predicate | appearsInChapterOfWork |
P93872
|
FINISHED |
| Object | later chapters of The Prince and the Pauper |
—
|
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: later chapters of The Prince and the Pauper | Statement: [Hendon Hall (family estate), appearsInChapterOfWork, later chapters of The Prince and the Pauper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInChapterOfWork Context triple: [Hendon Hall (family estate), appearsInChapterOfWork, later chapters of The Prince and the Pauper]
-
A.
appearsInBookNumber
Indicates that an entity is featured or mentioned in a specific book identified by its number within a series or collection.
-
B.
appearsInWorkByTitle
chosen
Indicates that an entity appears in, is featured in, or is contained within a work identified by its title.
-
C.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
D.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
E.
partOfBook
Indicates that one entity is a component or section contained within a larger book 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a537d4819093c2bae2a244816a |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.