Triple
T20224696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace of God |
E495346
|
entity |
| Predicate | emphasizedBy |
P3362
|
FINISHED |
| Object | Apostle Paul |
—
|
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: Apostle Paul | Statement: [Grace of God, emphasizedBy, Apostle Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apostle Paul Context triple: [Grace of God, emphasizedBy, Apostle Paul]
-
A.
Apostle Paul
chosen
Apostle Paul was an early Christian missionary and theologian whose letters form a significant portion of the New Testament and profoundly shaped Christian doctrine.
-
B.
Paulus
Paulus was an influential Roman jurist whose legal writings significantly shaped later compilations of Roman law.
-
C.
Andrew the Apostle
Andrew the Apostle was one of the twelve disciples of Jesus, traditionally regarded as the first-called apostle and a key figure in early Christianity.
-
D.
Apostle John
Apostle John was one of Jesus Christ’s closest disciples, traditionally regarded as the author of the Gospel of John, three New Testament epistles, and the Book of Revelation.
-
E.
Paul
Paul is a character in the film "Her," known as Theodore Twombly’s supportive and easygoing close friend.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd8f1948190adbb947a7870bb43 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.