Triple
T10404923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie St. Clare |
E245236
|
entity |
| Predicate | attitudeTowardSlavery |
P10907
|
FINISHED |
| Object | supports slavery |
—
|
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: supports slavery | Statement: [Marie St. Clare, attitudeTowardSlavery, supports slavery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardSlavery Context triple: [Marie St. Clare, attitudeTowardSlavery, supports slavery]
-
A.
positionOnSlavery
chosen
Indicates a stance, opinion, or policy that an entity holds regarding the institution or practice of slavery.
-
B.
effectOnSlavery
Indicates the impact or influence that something has on the existence, extent, or conditions of slavery.
-
C.
legalStatusOfSlavery
Indicates the legal condition or permissibility of slavery within a given jurisdiction, time, or context.
-
D.
wasFormerlyEnslaved
Indicates that an entity was previously held in a condition of slavery or bondage but is no longer enslaved.
-
E.
numberOfEnslaved
Indicates the quantity of individuals who were held in a state of enslavement in relation to a given entity or context.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e5fb58819081d7d3e1dc625197 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:08 p.m.