Triple
T25427466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Firth as Pontius Pilate |
E637152
|
entity |
| Predicate | timeOfSettingDepicted |
P20835
|
FINISHED |
| Object | shortly after the crucifixion of Jesus |
—
|
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: shortly after the crucifixion of Jesus | Statement: [Peter Firth as Pontius Pilate, timeOfSettingDepicted, shortly after the crucifixion of Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfSettingDepicted Context triple: [Peter Firth as Pontius Pilate, timeOfSettingDepicted, shortly after the crucifixion of Jesus]
-
A.
timeOfSetting
chosen
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
B.
depictionOfTime
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
C.
startTimeDepicted
Indicates that the subject visually represents the starting time of an event, process, or state.
-
D.
timeOfSettingEnd
Indicates the point in time at which a specified setting, condition, or configuration ceases to be in effect.
-
E.
eraOfSetting
Indicates the historical or temporal period in which the setting of something (such as a story, event, or work) takes place.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 1:57 p.m.