Triple
T7776908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christlieger |
E221416
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Jesus Christ |
E694
|
NE 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: Jesus Christ | Statement: [Christlieger, namedAfter, Jesus Christ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesus Christ Context triple: [Christlieger, namedAfter, Jesus Christ]
-
A.
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.
-
B.
Jesús
Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
-
C.
John the Baptist
John the Baptist was a major Jewish prophetic figure of the 1st century CE, revered in Christianity and Islam for preaching repentance and baptizing followers in preparation for the coming of Jesus.
-
D.
Jesús María
Jesús María is a small city in the Los Altos region of Jalisco, Mexico, known for its traditional Mexican culture and agricultural surroundings.
-
E.
Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d22ee081908081b5f5ecdb4d39 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf58a86548190b870417692e4b654 |
completed | March 30, 2026, 10:13 p.m. |
Created at: March 30, 2026, 4:12 p.m.