Triple
T22410993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ Illusion |
E553991
|
entity |
| Predicate | hasControversialSubject |
P81772
|
FINISHED |
| Object | depictions of Jesus Christ |
—
|
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: depictions of Jesus Christ | Statement: [Christ Illusion, hasControversialSubject, depictions of Jesus Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasControversialSubject Context triple: [Christ Illusion, hasControversialSubject, depictions of Jesus Christ]
-
A.
hasControversialAspect
chosen
Indicates that something includes an element, feature, or aspect that is disputed, debated, or likely to cause disagreement or public criticism.
-
B.
controversialBecause
Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
-
C.
controversialStatus
Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
-
D.
hasCensorshipControversy
Indicates that an entity has been involved in disputes, criticism, or public debate related to censorship of its content or activities.
-
E.
hasNotableSubject
Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15942edb081909869ae013ea72f09 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.