Triple
T25873608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Willie |
E651826
|
entity |
| Predicate | attitudeTowardSin |
P55782
|
FINISHED |
| Object | harsh toward others' sins |
—
|
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: harsh toward others' sins | Statement: [Holy Willie, attitudeTowardSin, harsh toward others' sins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardSin Context triple: [Holy Willie, attitudeTowardSin, harsh toward others' sins]
-
A.
attitudeTowardSocialNorms
Indicates an entity’s stance, feelings, or orientation regarding prevailing social rules, expectations, or norms.
-
B.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
C.
moralAttitude
chosen
Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
-
D.
attitudeTowardCondemned
Indicates a subject’s evaluative stance or feelings directed toward someone or something that is condemned or judged negatively.
-
E.
attitudeToSectarianism
Indicates an entity’s stance or disposition toward sectarianism, such as support, opposition, or neutrality.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602dea1388190a5e8567388c2838a |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 8:12 a.m.