Triple
T2870352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anatoly Lukyanov |
E63544
|
entity |
| Predicate | pardoned |
P27609
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Anatoly Lukyanov, pardoned, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pardoned Context triple: [Anatoly Lukyanov, pardoned, true]
-
A.
pardonOrClemencyBy
Indicates that an authority grants a pardon or clemency to someone, forgiving or reducing their legal penalties.
-
B.
posthumousPardonGrantedBy
Indicates that a formal pardon was granted to an individual after their death by a specified authority or institution.
-
C.
pardonStatus
chosen
Indicates whether an entity has been officially forgiven or exempted from penalties for a prior offense or violation.
-
D.
pardonDate
Indicates the date on which an official pardon for an offense is granted or takes effect.
-
E.
deathSentenceCommutedBy
Indicates that a previously imposed death sentence on an individual is officially reduced or replaced with a lesser punishment by a specified authority.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe2dcb48190a194253e733d14af |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.