Triple
T18917692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John 6 |
E462762
|
entity |
| Predicate | featuresPerson |
P2308
|
FINISHED |
| Object | Jesus |
—
|
NE NERFINISHED |
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: Jesus | Statement: [John 6, featuresPerson, Jesus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesus Context triple: [John 6, featuresPerson, Jesus]
-
A.
Jesus
Jesus is the central figure of Christianity, believed by Christians to be the Son of God and the Messiah whose life and teachings form the foundation of the Christian faith.
-
B.
Jésus
Jésus is a biographical and critical work by French writer Henri Barbusse that portrays the life and moral teachings of Jesus from a humanistic, often skeptical perspective.
-
C.
Jesus Christ
chosen
Jesus Christ is believed by Christians to be the incarnate Son of God and the Savior of humanity whose life, death, and resurrection are the foundation of the Christian faith.
-
D.
Jesús
Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
-
E.
Jesús
Jesús is a small Andean town in central Peru that serves as the administrative and cultural center of Lauricocha Province in the Huánuco Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62884988190a362ada1a0a47134 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:59 a.m.