Triple
T2056467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Goodman Brown |
E45684
|
entity |
| Predicate | hasMoralOrMessage |
P29043
|
FINISHED |
| Object | questioning the absolute goodness of individuals |
—
|
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: questioning the absolute goodness of individuals | Statement: [Young Goodman Brown, hasMoralOrMessage, questioning the absolute goodness of individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoralOrMessage Context triple: [Young Goodman Brown, hasMoralOrMessage, questioning the absolute goodness of individuals]
-
A.
hasMoralPerspective
chosen
Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
-
B.
hasMoralArc
Indicates that something follows a discernible trajectory of moral development, progress, or decline over time.
-
C.
moralStatus
Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
-
D.
hasConservationMessage
Indicates that an entity is associated with a message conveying information or guidance about conservation.
-
E.
hasUpliftingMessage
Indicates that something conveys a positive, encouraging, or inspiring message or theme.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9abdb088190991a620e01dc226f |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.