Triple
T1343083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-An'am |
E28508
|
entity |
| Predicate | mentions |
P831
|
FINISHED |
| Object | Jacob |
E10780
|
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: Jacob | Statement: [Surah Al-An'am, mentions, Jacob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Context triple: [Surah Al-An'am, mentions, Jacob]
-
A.
Jacob
chosen
Jacob is a central patriarch in the Hebrew Bible, regarded in Judaism as the father of the twelve tribes of Israel.
-
B.
Jacob
Jacob is the birth name of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
-
C.
Joseph
Joseph is the given first name of R. J. Mitchell, the British aeronautical engineer best known for designing the Supermarine Spitfire fighter aircraft.
-
D.
Joseph
Joseph, also known as Barnabas, was an early Christian disciple and companion of the Apostle Paul, recognized for his missionary work and role in the spread of Christianity.
-
E.
Joseph
Joseph is the given name of Joe Fulks, an early professional basketball star often credited as one of the NBA’s first great scorers.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2174d048190a6e9380df302265f |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc986352881909dcc435095bc0f8f |
completed | March 8, 2026, 7:09 p.m. |
Created at: March 1, 2026, 7:56 p.m.