Triple
T19074463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gospel of Judas |
E466868
|
entity |
| Predicate | depictsJesusAs |
P4192
|
FINISHED |
| Object | revealer of hidden knowledge |
—
|
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: revealer of hidden knowledge | Statement: [Gospel of Judas, depictsJesusAs, revealer of hidden knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsJesusAs Context triple: [Gospel of Judas, depictsJesusAs, revealer of hidden knowledge]
-
A.
depictsReligiousDenomination
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
B.
regardsJesusAs
chosen
Indicates that one entity holds a particular view, attitude, or evaluation of Jesus as another entity.
-
C.
depictionOfAgeOfJesus
Indicates that the subject is a depiction specifying or representing the age of Jesus.
-
D.
depictsSacrament
Indicates that one entity visually represents or portrays a religious sacrament associated with another entity.
-
E.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e2ccbc8190bf5a2da915c81a03 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.