Triple
T21140975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Petersburg Tale |
E520924
|
entity |
| Predicate | describesCharacterType |
P49696
|
FINISHED |
| Object | small clerk |
—
|
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: small clerk | Statement: [A Petersburg Tale, describesCharacterType, small clerk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesCharacterType Context triple: [A Petersburg Tale, describesCharacterType, small clerk]
-
A.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
B.
helpsCharacterType
Indicates that one character type provides assistance or support to another character type.
-
C.
depictsCharacterType
Indicates that one entity visually represents or portrays a character of a specified type or role.
-
D.
workCharacterType
chosen
Indicates that a work involves or features a character of a specified type or role.
-
E.
characterDescription
Indicates that one entity provides a textual description or portrayal of the characteristics, traits, or attributes of another 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235f77708190809d6aa3ee8056aa |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:57 p.m.