Triple
T19865258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Davison |
E477373
|
entity |
| Predicate | hasNotableArrest |
P125272
|
FINISHED |
| Object | multiple arrests for suffragette activities |
—
|
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: multiple arrests for suffragette activities | Statement: [Emily Davison, hasNotableArrest, multiple arrests for suffragette activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableArrest Context triple: [Emily Davison, hasNotableArrest, multiple arrests for suffragette activities]
-
A.
hasBeenArrestedBy
Indicates that an entity has been taken into custody or formally apprehended by another entity, typically a law enforcement authority.
-
B.
notableArrests
chosen
Indicates that an entity has been arrested in a way considered significant or noteworthy, typically due to the circumstances, impact, or public attention surrounding the arrest.
-
C.
hasReasonForArrest
Indicates that an arrest is associated with a specific reason or cause.
-
D.
notableArrestee
Indicates that the subject is a person who was arrested in a way considered notable or significant, typically in connection with the object (such as an event, case, or authority).
-
E.
hasHadCriminalConviction
Indicates that an entity has previously been found guilty of a criminal offense through a legal process.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589eb24081908715b683de1edc68 |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.