Triple
T17485084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Peter |
E425758
|
entity |
| Predicate | numberOfDenialsOfJesus |
P127638
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Saint Peter, numberOfDenialsOfJesus, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDenialsOfJesus Context triple: [Saint Peter, numberOfDenialsOfJesus, 3]
-
A.
frequencyOfUseByJesus
Indicates how often Jesus is recorded as using, mentioning, or engaging in the referenced concept, term, or practice.
-
B.
numberOfAnathemas
Indicates the quantity of anathemas (formal curses or condemnations) associated with a given entity or context.
-
C.
numberOfHells
Indicates the quantity or count of distinct hells associated with a given entity or context.
-
D.
recognizesJesusWhen
Indicates that one entity identifies or acknowledges Jesus as such under certain conditions or at a particular time.
-
E.
numberOfPilgrimagesToJerusalem
Indicates the count of times an entity has undertaken pilgrimages to Jerusalem.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d13e208190a187b5a08fd2b5d5 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.