Triple
T23246845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stabat Mater |
E581603
|
entity |
| Predicate | timeOfCrucifixionFocus |
P151530
|
FINISHED |
| Object | standing by the cross 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: standing by the cross of Jesus | Statement: [Stabat Mater, timeOfCrucifixionFocus, standing by the cross of Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfCrucifixionFocus Context triple: [Stabat Mater, timeOfCrucifixionFocus, standing by the cross of Jesus]
-
A.
timeAfterCrucifixion
Indicates that the referenced time point occurs after the crucifixion event.
-
B.
crucifiedOn
Indicates that one entity was executed by crucifixion upon or using another entity (typically a cross or similar structure).
-
C.
portraysCrucifixionAs
Indicates that one entity represents or depicts the crucifixion in a particular manner or interpretive style.
-
D.
dateCrucifixions
Indicates that one entity specifies or records the date on which another entity was crucified.
-
E.
timeOfCondemnation
Indicates the specific time at which a condemnation (such as a legal judgment or formal denunciation) occurs or is issued.
- F. None of above. chosen
Provenance (4 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f1e8448190b8420a8dc6e24576 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:10 p.m.