Triple
T37934483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rzhev Memorial to the Soviet Soldier |
E946308
|
entity |
| Predicate | hasPoemAuthor |
P36356
|
FINISHED |
| Object | Aleksandr Tvardovsky |
—
|
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: Aleksandr Tvardovsky | Statement: [Rzhev Memorial to the Soviet Soldier, hasPoemAuthor, Aleksandr Tvardovsky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoemAuthor Context triple: [Rzhev Memorial to the Soviet Soldier, hasPoemAuthor, Aleksandr Tvardovsky]
-
A.
poemAuthor
chosen
Indicates that one entity is the author or creator of a poem represented by the other entity.
-
B.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
C.
associatedWithPoem
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
D.
poetAssociated
Indicates a relationship where a poet is connected or linked to another entity, such as a work, place, movement, or person, through relevance, collaboration, influence, or affiliation.
-
E.
containsPoemsFrom
Indicates that one entity includes or features poems that originate from or are authored in association with 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:20 p.m.