Triple
T207457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acts of the Apostles |
E4639
|
entity |
| Predicate | traditionalAuthor |
P5464
|
FINISHED |
| Object |
Luke
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.
|
E31566
|
NE FINISHED |
How this triple was built (4 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: [Acts of the Apostles, traditionalAuthor, Luke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Context triple: [Acts of the Apostles, traditionalAuthor, Luke]
-
A.
Adam
Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
-
B.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
-
C.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
D.
Andrew
Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
-
E.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luke Triple: [Acts of the Apostles, traditionalAuthor, Luke]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luke Target entity description: 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.
-
A.
Adam
Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
-
B.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
-
C.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
D.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
-
E.
Andrew
Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
- F. None of above. chosen
Provenance (5 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c071fac81908f706d1384281182 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36ceeaf6081908056040506197a18 |
completed | Feb. 28, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69a36d7b01fc8190a5c596b748bbaa53 |
completed | Feb. 28, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36df1839081909c743e1357dd400a |
completed | Feb. 28, 2026, 10:36 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.