Triple
T934722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Codex Alexandrinus |
E20169
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Rahlfs 911
Rahlfs 911 is a scholarly designation for the ancient biblical manuscript known as Codex Alexandrinus, one of the most important early witnesses to the text of the Greek Bible.
|
E109466
|
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: Rahlfs 911 | Statement: [Codex Alexandrinus, alsoKnownAs, Rahlfs 911]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahlfs 911 Context triple: [Codex Alexandrinus, alsoKnownAs, Rahlfs 911]
-
A.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
-
B.
Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
-
C.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
D.
Rolf
Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
-
E.
Hartmann
Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
- 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: Rahlfs 911 Triple: [Codex Alexandrinus, alsoKnownAs, Rahlfs 911]
Generated description
Rahlfs 911 is a scholarly designation for the ancient biblical manuscript known as Codex Alexandrinus, one of the most important early witnesses to the text of the Greek Bible.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahlfs 911 Target entity description: Rahlfs 911 is a scholarly designation for the ancient biblical manuscript known as Codex Alexandrinus, one of the most important early witnesses to the text of the Greek Bible.
-
A.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
-
B.
Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
-
C.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
D.
Rolf
Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
-
E.
Hartmann
Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee12da388190a26f0f7944d6f5f8 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f12e48f88190bd0aac156a76f0b9 |
completed | March 4, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f1a2688881908524f10350137f4f |
completed | March 4, 2026, 8:47 a.m. |
Created at: March 1, 2026, 7:40 p.m.