Triple
T5111871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Henry Dashwood |
E115230
|
entity |
| Predicate | requestContent |
P61661
|
FINISHED |
| Object | to provide for his stepmother and half-sisters |
—
|
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: to provide for his stepmother and half-sisters | Statement: [Mr. Henry Dashwood, requestContent, to provide for his stepmother and half-sisters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requestContent Context triple: [Mr. Henry Dashwood, requestContent, to provide for his stepmother and half-sisters]
-
A.
inscriptionContentType
Indicates the type or nature of the content conveyed by an inscription (e.g., its genre, function, or informational category).
-
B.
formalContent
Indicates that the content is expressed in a formal, structured, or official manner, as opposed to casual or informal expression.
-
C.
textContent
Indicates that one entity is the textual content or written material contained within another entity.
-
D.
contentProvider
Indicates that one entity serves as the source or supplier of content (such as media, information, or data) for another entity.
-
E.
readingAndWritingContent
Indicates a relationship where an entity both consumes (reads) and produces (writes) some form of content.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ca57e881908242def2a032902e |
completed | March 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69bd715fe3a8819087d3065adddba515 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:41 p.m.