Triple
T37135423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksei Kuznetsov |
E919948
|
entity |
| Predicate | workedOnAdaptationOf |
P187480
|
FINISHED |
| Object | War and Peace (novel) |
E18587
|
NE 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: War and Peace (novel) | Statement: [Aleksei Kuznetsov, workedOnAdaptationOf, War and Peace (novel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedOnAdaptationOf Context triple: [Aleksei Kuznetsov, workedOnAdaptationOf, War and Peace (novel)]
-
A.
collaboratedOnAdaptationOf
Indicates that two or more entities worked together on creating or producing an adaptation of an existing work.
-
B.
workAdaptedIn
Indicates that a work has been transformed or re-created into another medium or format, such as a book adapted into a film, play, or other derivative work.
-
C.
workAdaptedFor
Indicates that one work has been modified or transformed to create another work specifically suited for a different medium, context, or audience.
-
D.
basedOnAdaptationWorkedOn
Indicates that something is derived from or created based on an adaptation that a particular agent worked on.
-
E.
adaptsWorkOf
Indicates that one entity modifies, transforms, or reinterprets the work created by another entity into a new form or context.
- F. None of above. chosen
Provenance (5 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f6a2773ac8190928c55ab86886f55 |
completed | June 27, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:15 p.m.