Triple
T27459307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother Marianne Cope |
E692686
|
entity |
| Predicate | sentToMission |
P64262
|
FINISHED |
| Object | Hawaii |
—
|
NE NERFINISHED |
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: Hawaii | Statement: [Mother Marianne Cope, sentToMission, Hawaii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentToMission Context triple: [Mother Marianne Cope, sentToMission, Hawaii]
-
A.
sentMissionTo
Indicates that one entity dispatched or assigned another entity to carry out a specific mission at a particular destination or context.
-
B.
sentOnMissionBy
Indicates that one entity was assigned or dispatched on a mission by another entity.
-
C.
sentToDestination
chosen
Indicates that something or someone is transferred or dispatched from an origin to a specified destination.
-
D.
missionTo
Indicates that one entity is assigned, directed, or sent to carry out a specific mission involving another entity or location.
-
E.
isTargetOfMission
Indicates that an entity is the intended objective or focus of a particular mission or operation.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62dcc3f10819099a0587db9bc9fb2 |
completed | May 2, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:49 p.m.