Triple
T4768324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michal |
E105865
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Jonathan son of Saul |
E109473
|
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: Jonathan son of Saul | Statement: [Michal, sibling, Jonathan son of Saul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan son of Saul Context triple: [Michal, sibling, Jonathan son of Saul]
-
A.
Saul
Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
-
B.
Saul
chosen
Saul is the first king of Israel in the Hebrew Bible, known for his tumultuous reign and complex relationship with the prophet Samuel and his successor David.
-
C.
Dan son of Jacob
Dan son of Jacob is one of the twelve sons of the biblical patriarch Jacob and the traditional ancestor of the Israelite Tribe of Dan.
-
D.
Salomo
Salomo is the given name of Johann Salomo Semler, an influential 18th-century German theologian and pioneer of historical-critical biblical scholarship.
-
E.
Zamani Saul
Zamani Saul is a South African politician who serves as the Premier of the Northern Cape province.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6537eb80819096e0ae906c59d605 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43be262c8190b9b9e2e6c2623ff7 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:21 p.m.