Triple
T27641641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Stanhope (illegitimate son and letter recipient) |
E696601
|
entity |
| Predicate | mainThemeOfLetters |
P36853
|
FINISHED |
| Object | manners |
—
|
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: manners | Statement: [Philip Stanhope (illegitimate son and letter recipient), mainThemeOfLetters, manners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainThemeOfLetters Context triple: [Philip Stanhope (illegitimate son and letter recipient), mainThemeOfLetters, manners]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
primaryThemeOrigin
Indicates that the primary thematic content of something (e.g., a work or discourse) originates from or is derived from a particular source or context.
-
C.
mainThemeCharacter
Indicates that a character serves as the central or primary figure associated with the main theme of a work or narrative.
-
D.
primaryThemeAssociation
chosen
Indicates that one entity is the main or central theme associated with another entity.
-
E.
hasLetterColor
Indicates that one entity (typically a letter or character) is associated with a specific color.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 2:26 p.m.