Triple
T34565262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucifer Jr. |
E887457
|
entity |
| Predicate | targetOfTemptation |
P139301
|
FINISHED |
| Object | Joe |
—
|
NE NERFINISHED |
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: Joe | Statement: [Lucifer Jr., targetOfTemptation, Joe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOfTemptation Context triple: [Lucifer Jr., targetOfTemptation, Joe]
-
A.
thirdTemptation
Indicates the relationship in which an entity is subjected to or involved in the third in a sequence of temptations or tests.
-
B.
involvesTempter
Indicates that the situation or event includes an entity acting as a tempter, attempting to entice or lure another into a particular action or state.
-
C.
temptation
chosen
Indicates a situation or influence that strongly urges or entices an entity to perform an action, typically one that is considered wrong, unwise, or against their better judgment.
-
D.
settingOfTemptation
Indicates the location or context in which a temptation occurs or is experienced.
-
E.
targetOfDeception
Indicates that one entity is being deceived, misled, or tricked by another entity.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
Created at: May 1, 2026, 2:02 a.m.