Triple
T31522401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Freamon |
E804242
|
entity |
| Predicate | demotionReason |
P172573
|
FINISHED |
| Object | political retaliation |
—
|
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: political retaliation | Statement: [Lester Freamon, demotionReason, political retaliation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demotionReason Context triple: [Lester Freamon, demotionReason, political retaliation]
-
A.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
B.
demotes
Indicates that one entity reduces another entity’s rank, status, or level within a hierarchy or system.
-
C.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
-
D.
expulsionReason
Indicates the cause or justification for which an entity was expelled from a group, place, or institution.
-
E.
reasonForDismissal
Indicates the cause or justification for which an entity (such as a person, case, or item) was dismissed, terminated, or removed.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 9:56 p.m.