Triple
T2204541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augustine St. Clare |
E50565
|
entity |
| Predicate | moralViewOnSlavery |
P29043
|
FINISHED |
| Object | critical but complicit |
—
|
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: critical but complicit | Statement: [Augustine St. Clare, moralViewOnSlavery, critical but complicit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralViewOnSlavery Context triple: [Augustine St. Clare, moralViewOnSlavery, critical but complicit]
-
A.
positionOnSlavery
Indicates a stance, opinion, or policy that an entity holds regarding the institution or practice of slavery.
-
B.
hasMoralPerspective
chosen
Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
-
C.
viewOnMoralLaw
Indicates a subject’s stance or interpretation regarding principles of moral law or ethical rules.
-
D.
moralStatus
Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
-
E.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.