Triple
T32736786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justine |
E837107
|
entity |
| Predicate | moralPositionAtStart |
P55782
|
FINISHED |
| Object | idealistic |
—
|
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: idealistic | Statement: [Justine, moralPositionAtStart, idealistic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralPositionAtStart Context triple: [Justine, moralPositionAtStart, idealistic]
-
A.
moralStatus
Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
-
B.
moralAttitude
chosen
Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
-
C.
moralTurningPoint
Indicates a pivotal moment in which an entity undergoes a significant change in moral stance, values, or ethical behavior.
-
D.
moralAssumption
Indicates that one entity presumes or accepts a moral principle, value, or norm as valid or binding in a given context.
-
E.
moralTrajectory
Indicates the direction and pattern of change in an entity’s moral behavior or ethical stance over time.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c904db548190a691ff89e4b0a9ed |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f717a88190a924d614c2c9bca3 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:12 a.m.