Triple
T5628983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imran |
E147788
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Isa (Jesus) |
E84737
|
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: Isa (Jesus) | Statement: [Imran, associatedWith, Isa (Jesus)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isa (Jesus) Context triple: [Imran, associatedWith, Isa (Jesus)]
-
A.
Jesus Christ
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.
Isa
chosen
Isa is the Quranic name for Jesus, revered in Islam as a major prophet and messenger of God who performed miracles and will return before the Day of Judgment.
-
C.
Jebus
Jebus is the ancient Canaanite name for the city later known as Jerusalem.
-
D.
Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
-
E.
Jesús María
Jesús María is a municipality in the Mexican state of Aguascalientes, known for its growing urban area and integration into the metropolitan region of the state capital.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0223b1e54819099fe5fc84ed17a88 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d654c6c819087c1bcb4eb9530d0 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.