Triple
T2667341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Chelsea Manning |
E55666
|
entity |
| Predicate | commutation |
P41550
|
FINISHED |
| Object | sentence commuted by President Barack Obama |
—
|
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: sentence commuted by President Barack Obama | Statement: [United States v. Chelsea Manning, commutation, sentence commuted by President Barack Obama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commutation Context triple: [United States v. Chelsea Manning, commutation, sentence commuted by President Barack Obama]
-
A.
commutedBy
Indicates that a person or entity regularly travels to and from a place using a specified mode or means of transportation.
-
B.
commutesBetween
Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
-
C.
ordination
Indicates the formal conferral of religious authority or office upon a person within a religious tradition.
-
D.
commencement
Indicates the formal beginning or initiation of an event, process, or period.
-
E.
commitment
Indicates a sustained obligation or promise that binds an entity to a course of action, relationship, or goal over time.
- F. None of above. chosen
Provenance (4 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98a4ee88190aa7ef914e316ba31 |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd8190ad481908f3e14ac84d0940a |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8f98c348190a68064c565589459 |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:54 p.m.