Triple
T14746163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina Godunova |
E346472
|
entity |
| Predicate | titleAfterWidowhood |
P40284
|
FINISHED |
| Object | nun at Novodevichy Convent |
—
|
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: nun at Novodevichy Convent | Statement: [Irina Godunova, titleAfterWidowhood, nun at Novodevichy Convent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleAfterWidowhood Context triple: [Irina Godunova, titleAfterWidowhood, nun at Novodevichy Convent]
-
A.
titleAfterAnnulment
Indicates that an entity holds or assumes a particular title only after a prior title or relationship has been annulled.
-
B.
styleAfterHusbandDeath
chosen
Indicates that an entity adopts or changes its style in response to, or following, the death of its husband.
-
C.
titleAfterSpouseAccession
Indicates that an entity holds or adopts a particular title only after their spouse has acceded to a specified position or rank.
-
D.
titleAfter1282
Indicates that one entity holds a title or designation that was assumed or valid only after the year 1282 in relation to another entity.
-
E.
titleAfterConfinement
Indicates that a new title or designation is assigned to an entity after a period of confinement or imprisonment.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.