Triple
T4589231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Catherine of Alexandria |
E103441
|
entity |
| Predicate | martyrdomCause |
P44824
|
FINISHED |
| Object | beheading |
—
|
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: beheading | Statement: [Saint Catherine of Alexandria, martyrdomCause, beheading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: martyrdomCause Context triple: [Saint Catherine of Alexandria, martyrdomCause, beheading]
-
A.
martyrdomStatus
Indicates the state or condition of an entity with respect to being recognized or regarded as a martyr.
-
B.
traditionallyMartyredWith
Indicates that an entity is customarily believed or depicted to have been martyred using a particular method, instrument, or circumstance.
-
C.
deifiedPersonDeathCause
Indicates the cause or manner of death of the person who is venerated or treated as a deity.
-
D.
reasonForDeath
chosen
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
E.
centuryOfMartyrdom
Indicates the century in which a martyrdom event took 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_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.