Triple
T5188923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Tempters |
E117100
|
entity |
| Predicate | settingOfTemptation |
P61978
|
FINISHED |
| Object | Canterbury |
E72201
|
NE FINISHED |
How this triple was built (3 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: Canterbury | Statement: [Four Tempters, settingOfTemptation, Canterbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canterbury Context triple: [Four Tempters, settingOfTemptation, Canterbury]
-
A.
Canterbury
Canterbury is a large region on New Zealand’s South Island, centered on the city of Christchurch and known for its expansive plains, alpine scenery, and diverse communities.
-
B.
Canterbury
chosen
Canterbury is a historic cathedral city in Kent, England, renowned for its medieval architecture and status as a major center of Christian pilgrimage.
-
C.
Bristol
Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
-
D.
Bristol
Bristol is a city in central Connecticut known historically for its clock-making industry and as the longtime home of ESPN’s headquarters.
-
E.
Bristol
Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfTemptation Context triple: [Four Tempters, settingOfTemptation, Canterbury]
-
A.
hasNumberOfTemptations
Indicates the specific count of temptations associated with an entity or situation.
-
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.
secondTemptation
Indicates a relationship where an entity is subjected to or engages in a second instance of temptation, following an initial tempting event.
-
D.
thirdTemptation
Indicates the relationship in which an entity is subjected to or involved in the third in a sequence of temptations or tests.
-
E.
firstTemptation
Indicates the initial instance in which an entity is enticed or urged toward a potentially wrong, risky, or forbidden action.
- F. None of above. chosen
Provenance (5 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c732b48190af62dfffcbc5e3a6 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08af954819080dbe7ea1ac6ddb0 |
completed | March 21, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.