Triple
T21145561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sela |
E521044
|
entity |
| Predicate | biblicalBook |
P11163
|
FINISHED |
| Object | Isaiah |
—
|
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: Isaiah | Statement: [Sela, biblicalBook, Isaiah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isaiah Context triple: [Sela, biblicalBook, Isaiah]
-
A.
Isaiah
chosen
Isaiah is a major prophetic book of the Hebrew Bible and Christian Old Testament, traditionally attributed to the prophet Isaiah and known for its themes of judgment, hope, and messianic prophecy.
-
B.
Ezekiel
Ezekiel is a major Hebrew prophet known for his vivid apocalyptic visions and central role in the biblical Book of Ezekiel.
-
C.
Jeremiah
Jeremiah is a major Old Testament prophet whose writings, including themes of covenant and judgment, are frequently referenced in the New Testament.
-
D.
Jeremiah
"Jeremiah" is a prominent sculpture by Boris Schatz, reflecting his pioneering role in modern Jewish and Israeli art.
-
E.
Jeremiah
Jeremiah is a central Sudanese refugee character in the 2014 drama film "The Good Lie," which portrays the experiences of the Lost Boys of Sudan resettling in the United States.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fcdb7c8190ae04d6ad9dff3187 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.