Triple
T19094078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disputation with the Doctors |
E467359
|
entity |
| Predicate | ageOfJesusDepicted |
P81603
|
FINISHED |
| Object | twelve years old |
—
|
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: twelve years old | Statement: [Disputation with the Doctors, ageOfJesusDepicted, twelve years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfJesusDepicted Context triple: [Disputation with the Doctors, ageOfJesusDepicted, twelve years old]
-
A.
depictionOfAgeOfJesus
chosen
Indicates that the subject is a depiction specifying or representing the age of Jesus.
-
B.
ageDepictionConsistency
Indicates that the depicted age of an entity is consistent with its known or expected age within the given context.
-
C.
regardsJesusAs
Indicates that one entity holds a particular view, attitude, or evaluation of Jesus as another entity.
-
D.
numberOfDenialsOfJesus
Indicates the count of times an individual denied or rejected Jesus.
-
E.
recognizesJesusWhen
Indicates that one entity identifies or acknowledges Jesus as such under certain conditions or at a particular time.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34e1ee0819092f679d916e6e532 |
completed | April 20, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.