Triple
T6290114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolstoy |
E140994
|
entity |
| Predicate | fieldOfActivityOfMembers |
P35550
|
FINISHED |
| Object | literature |
—
|
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: literature | Statement: [Tolstoy, fieldOfActivityOfMembers, literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfActivityOfMembers Context triple: [Tolstoy, fieldOfActivityOfMembers, literature]
-
A.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
B.
memberEntities
Indicates that certain entities belong to, or are included as members within, a larger group or collection.
-
C.
memberProfession
chosen
Indicates that a member or individual holds or practices a particular profession or occupation.
-
D.
fieldOfSignificance
Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
-
E.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ca91481909d49b700cef93ffe |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:26 p.m.