Triple
T18247454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love for all, hatred for none |
E436988
|
entity |
| Predicate | moralStanceOn |
P55782
|
FINISHED |
| Object | hatred |
—
|
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: hatred | Statement: [Love for all, hatred for none, moralStanceOn, hatred]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralStanceOn Context triple: [Love for all, hatred for none, moralStanceOn, hatred]
-
A.
moralAttitude
chosen
Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
-
B.
moralJudgmentOn
Indicates that one entity evaluates or assesses the morality of another entity, action, or situation.
-
C.
moralBelief
Indicates that an agent holds a normative judgment about what is right, wrong, good, or bad in a given context.
-
D.
moralStatus
Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
-
E.
hasMoralPerspective
Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e89b288190a286797ec2cd60a8 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:33 a.m.