Triple

T31375829
Position Surface form Disambiguated ID Type / Status
Subject Charles Waldstein E800299 entity
Predicate positionHeld P8 FINISHED
Object Reader in Classical Archaeology at Cambridge
Reader in Classical Archaeology at Cambridge is an academic post at the University of Cambridge focused on the research and teaching of ancient Mediterranean material culture and archaeological history.
 E1960127 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: Reader in Classical Archaeology at Cambridge | Statement: [Charles Waldstein, positionHeld, Reader in Classical Archaeology at Cambridge]
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: Reader in Classical Archaeology at Cambridge
Triple: [Charles Waldstein, positionHeld, Reader in Classical Archaeology at Cambridge]
Generated description
Reader in Classical Archaeology at Cambridge is an academic post at the University of Cambridge focused on the research and teaching of ancient Mediterranean material culture and archaeological history.

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_69f224e84da08190abfc2f17494a33c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f69fecd8f081908a9452de3bb8ab7d completed May 3, 2026, 1:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad23697248190bad3202b874ef189 completed June 11, 2026, 3:20 p.m.
NEDg Description generation batch_6a2ad61d68288190a6cdfc1131501945 completed June 11, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_6a2ae15e581c81909bb1cd58b50096d7 completed June 11, 2026, 4:25 p.m.
Created at: April 29, 2026, 9:18 p.m.