Triple
T33248960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream of the Red Chamber |
E851183
|
entity |
| Predicate | majorCharacterGroup |
P35849
|
FINISHED |
| Object | Twelve Beauties of Jinling |
—
|
NE NERFINISHED |
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: Twelve Beauties of Jinling | Statement: [Dream of the Red Chamber, majorCharacterGroup, Twelve Beauties of Jinling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCharacterGroup Context triple: [Dream of the Red Chamber, majorCharacterGroup, Twelve Beauties of Jinling]
-
A.
titleCharacterGroup
Indicates that a group of characters is associated with or featured in the title of a work.
-
B.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
-
C.
metCharacter
Indicates that one entity has encountered or been introduced to another entity at least once.
-
D.
notableCharacterGroup
chosen
Indicates that a group of characters is especially prominent, significant, or noteworthy within a given context or work.
-
E.
characters
Indicates that one entity is a character (or set of characters) associated with, appearing in, or belonging to another entity (such as a work, story, or medium).
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 1, 2026, 1:31 a.m.