Triple
T33855318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Crispin |
E867756
|
entity |
| Predicate | martyrdomDate |
P163390
|
FINISHED |
| Object | circa 3rd century |
—
|
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: circa 3rd century | Statement: [Saint Crispin, martyrdomDate, circa 3rd century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: martyrdomDate Context triple: [Saint Crispin, martyrdomDate, circa 3rd century]
-
A.
martyredUnder
Indicates that an entity was killed or executed as a martyr during the rule, authority, or actions of another entity.
-
B.
killingDate
Indicates the specific date on which a killing event occurred.
-
C.
victimsExecutedAt
Indicates that the victims were put to death at a specific location or during a specific event or time.
-
D.
martyrdomDateTradition
chosen
Indicates the date of a person's martyrdom as preserved or assigned in a particular religious or historical tradition.
-
E.
martyrdomStatus
Indicates the state or condition of an entity with respect to being recognized or regarded as a martyr.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:47 a.m.