Triple
T6009680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea Manning |
E133800
|
entity |
| Predicate | dateOfPardonOrCommutation |
P15401
|
FINISHED |
| Object | 2017-01-17 |
—
|
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: 2017-01-17 | Statement: [Chelsea Manning, dateOfPardonOrCommutation, 2017-01-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfPardonOrCommutation Context triple: [Chelsea Manning, dateOfPardonOrCommutation, 2017-01-17]
-
A.
pardonDate
chosen
Indicates the date on which an official pardon for an offense is granted or takes effect.
-
B.
dateOfExoneration
Indicates the date on which an entity was officially cleared of blame, guilt, or conviction.
-
C.
dateOfParole
Indicates the specific date on which an individual is officially released on parole.
-
D.
deathSentenceCommutedBy
Indicates that a previously imposed death sentence on an individual is officially reduced or replaced with a lesser punishment by a specified authority.
-
E.
pardonOrClemencyBy
Indicates that an authority grants a pardon or clemency to someone, forgiving or reducing their legal penalties.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4e27a881909cc3f7fef62abc3b |
completed | March 22, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.