Triple
T4589232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Catherine of Alexandria |
E103441
|
entity |
| Predicate | martyrdomMethodInLegend |
P40222
|
FINISHED |
| Object | attempted torture on a spiked wheel |
—
|
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: attempted torture on a spiked wheel | Statement: [Saint Catherine of Alexandria, martyrdomMethodInLegend, attempted torture on a spiked wheel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: martyrdomMethodInLegend Context triple: [Saint Catherine of Alexandria, martyrdomMethodInLegend, attempted torture on a spiked wheel]
-
A.
traditionallyMartyredWith
chosen
Indicates that an entity is customarily believed or depicted to have been martyred using a particular method, instrument, or circumstance.
-
B.
martyrdomStatus
Indicates the state or condition of an entity with respect to being recognized or regarded as a martyr.
-
C.
centuryOfMartyrdom
Indicates the century in which a martyrdom event took place.
-
D.
methodOfPersecution
Indicates the specific means, technique, or process by which an act of persecution is carried out.
-
E.
legendaryDeath
Indicates a death that is renowned or celebrated in stories or history, often marked by extraordinary circumstances or lasting fame.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd592232888190af33c47636ca835d |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:11 p.m.