Triple
T30360018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatiana Likhacheva |
E772255
|
entity |
| Predicate | adaptedWorkEdited |
P171584
|
FINISHED |
| Object | War and Peace by Leo Tolstoy |
—
|
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: War and Peace by Leo Tolstoy | Statement: [Tatiana Likhacheva, adaptedWorkEdited, War and Peace by Leo Tolstoy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedWorkEdited Context triple: [Tatiana Likhacheva, adaptedWorkEdited, War and Peace by Leo Tolstoy]
-
A.
coEditedWork
Indicates that two or more entities jointly served as editors of the same work.
-
B.
editedIn
Indicates that an entity was modified, revised, or otherwise altered within a particular context, tool, environment, or time frame.
-
C.
editedTo
Indicates that one entity has been modified, revised, or altered in order to become the other entity.
-
D.
adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
E.
editingOfWorkBy
Indicates that one entity performs editorial modifications or revisions on a work created by another entity.
- 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 7:57 p.m.