Triple

T29572397
Position Surface form Disambiguated ID Type / Status
Subject Arthur Michael Ramsey E753345 entity
Predicate notableWork P4 FINISHED
Object A Portrait of Jesus
A Portrait of Jesus is a theological work by Arthur Michael Ramsey that offers a reflective, scholarly exploration of the life and person of Jesus Christ.
E1873630 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: A Portrait of Jesus | Statement: [Arthur Michael Ramsey, notableWork, A Portrait of Jesus]
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: A Portrait of Jesus
Triple: [Arthur Michael Ramsey, notableWork, A Portrait of Jesus]
Generated description
A Portrait of Jesus is a theological work by Arthur Michael Ramsey that offers a reflective, scholarly exploration of the life and person of Jesus Christ.

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_69f0ef7fcb4881908a933110adb9bda1 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66d47de5481908e4f3ae9fae613c3 completed May 2, 2026, 9:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d6cb7c48190a23bd341d90bd91e completed June 8, 2026, 2:48 a.m.
NEDg Description generation batch_6a2631b9deb48190b1c85040301cd819 completed June 8, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a263366e60c8190bd1bba907a72899c completed June 8, 2026, 3:13 a.m.
Created at: April 28, 2026, 5:59 p.m.