Triple
T5054132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saul Bellow |
E113857
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | 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: Saul | Statement: [Saul Bellow, givenName, Saul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saul Context triple: [Saul Bellow, givenName, 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.
Zamani Saul
Zamani Saul is a South African politician who serves as the Premier of the Northern Cape province.
-
D.
Dávid
Dávid is a given name, commonly used in Hungarian and other languages as a form of the name David.
-
E.
Othniel
Othniel is a biblical figure regarded as the first judge of Israel, known for delivering the Israelites from oppression in the Book of Judges.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd742a59448190918766c261cfa13d |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf186790248190bc94cfbecf3cfe73 |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:38 p.m.