Triple
T18512783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dissenters |
E452381
|
entity |
| Predicate | continuedToFace |
P131960
|
FINISHED |
| Object | civil disabilities after 1689 |
—
|
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: civil disabilities after 1689 | Statement: [Dissenters, continuedToFace, civil disabilities after 1689]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuedToFace Context triple: [Dissenters, continuedToFace, civil disabilities after 1689]
-
A.
continuesToward
Indicates that an entity maintains its movement or progression in the direction of a specified target or destination.
-
B.
continuedThrough
Indicates that an event, state, or process persisted without interruption across or beyond a specified point, period, or boundary.
-
C.
continuedBy
Indicates that one entity carries on, extends, or resumes the activity, process, or sequence initiated by another entity.
-
D.
followsFace
Indicates that one entity adjusts its position or orientation to continuously track and remain aligned with another entity’s face.
-
E.
continuedToLeadUnderFire
Indicates that an individual maintained their leadership role and continued directing others despite being under enemy fire or in an actively dangerous situation.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53346f9488190bc2e4570564bede0 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:36 a.m.