Triple
T14206253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Benjamin Whipple |
E352101
|
entity |
| Predicate | soughtPardonFor |
P113203
|
FINISHED |
| Object | Dakota men condemned after the 1862 conflict |
—
|
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: Dakota men condemned after the 1862 conflict | Statement: [Henry Benjamin Whipple, soughtPardonFor, Dakota men condemned after the 1862 conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soughtPardonFor Context triple: [Henry Benjamin Whipple, soughtPardonFor, Dakota men condemned after the 1862 conflict]
-
A.
repentedIn
Indicates that an entity has expressed remorse or regret for its actions within a particular context, time, or situation.
-
B.
apologizedFor
Indicates that one entity expressed regret or remorse to another entity specifically about a particular action, event, or wrongdoing.
-
C.
apologyIssued
Indicates that one entity has expressed regret or remorse to another entity for a perceived wrong, mistake, or offense.
-
D.
repentedTo
Indicates that one entity expressed remorse or sought forgiveness directly from another entity.
-
E.
apologyIssuedBy
Indicates that an apology has been made by a specific entity as the source or initiator of that apology.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:05 a.m.