Triple
T10047405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Kershner |
E207650
|
entity |
| Predicate | associatedWithMovementIndirectly |
P2459
|
FINISHED |
| Object | anarchism |
—
|
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: anarchism | Statement: [Jacob Kershner, associatedWithMovementIndirectly, anarchism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMovementIndirectly Context triple: [Jacob Kershner, associatedWithMovementIndirectly, anarchism]
-
A.
associatedWithMovement
chosen
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
B.
hasRelationToOtherMovements
Indicates that something is connected, associated, or otherwise related to other movements in a meaningful way.
-
C.
associatedWithDirection
Indicates that something has a relationship to, or is characterized by, a particular spatial or directional orientation.
-
D.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
E.
refersToPersonMovement
Indicates that one entity is referencing, describing, or otherwise relating to the physical movement or relocation of a person.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:56 p.m.