Triple
T18101042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giaffir |
E433215
|
entity |
| Predicate | moralAlignmentInWork |
P22459
|
FINISHED |
| Object | villainous |
—
|
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: villainous | Statement: [Giaffir, moralAlignmentInWork, villainous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralAlignmentInWork Context triple: [Giaffir, moralAlignmentInWork, villainous]
-
A.
moralPositionInWork
Indicates the moral or ethical stance that an entity holds or expresses within a particular work (such as a text, artwork, or performance).
-
B.
characterAlignment
chosen
Indicates the moral or ethical stance a character holds, typically along axes such as good–evil and lawful–chaotic.
-
C.
moralAttitude
Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
-
D.
moralIntegrity
Indicates that an entity consistently adheres to ethical principles, acting honestly and in alignment with moral standards even under pressure or temptation.
-
E.
hasMoralCode
Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb5e6208190b3c3cce3b95d66ad |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.