Triple

T28656819
Position Surface form Disambiguated ID Type / Status
Subject Family 1 (Lake Group) E725355 entity
Predicate member P10 FINISHED
Object Minuscule 2193
Minuscule 2193 is a Greek New Testament manuscript written in minuscule script, notable as a representative of the textual tradition associated with the Family 1 (Lake Group) of manuscripts.
E1830442 NE FINISHED

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: Minuscule 2193 | Statement: [Family 1 (Lake Group), member, Minuscule 2193]
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: Minuscule 2193
Triple: [Family 1 (Lake Group), member, Minuscule 2193]
Generated description
Minuscule 2193 is a Greek New Testament manuscript written in minuscule script, notable as a representative of the textual tradition associated with the Family 1 (Lake Group) of manuscripts.

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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f652e891808190a31adc508777c3b2 completed May 2, 2026, 7:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf3e4bc0819083581ccb452922be completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1cd020780c81908d33cd9d1676a762 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a249466d5b08190bd3886ef517cb367 completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 4:55 a.m.