Triple
T19195875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnificat |
E469965
|
entity |
| Predicate | biblicalBook |
P11163
|
FINISHED |
| Object | Luke |
—
|
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: Luke | Statement: [Magnificat, biblicalBook, Luke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Context triple: [Magnificat, biblicalBook, Luke]
-
A.
Luke
chosen
Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
-
B.
Luke
Luke is a character portrayed by Chiwetel Ejiofor in the romantic comedy film "Love Actually."
-
C.
Luke
Luke is a central character in James Baldwin’s play "The Amen Corner," serving as the estranged husband whose return forces the protagonist and her church community to confront painful truths about faith, family, and hypocrisy.
-
D.
Luke
Luke is a small town located in Allegany County, Maryland, known historically for its paper mill industry.
-
E.
Luke
Luke is a small green narrow-gauge steam locomotive character from the Skarloey Railway in the Thomas & Friends franchise.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a5dabc81908fffad811f177b03 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.