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.