Triple

T37276889
Position Surface form Disambiguated ID Type / Status
Subject New Studies in Biblical Theology E924669 entity
Predicate hasContributor P4244 FINISHED
Object Gordon Wenham
Gordon Wenham is a prominent British biblical scholar and Old Testament commentator known for his influential works on Genesis and Pentateuchal studies.
E2223304 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: Gordon Wenham | Statement: [New Studies in Biblical Theology, hasContributor, Gordon Wenham]
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: Gordon Wenham
Triple: [New Studies in Biblical Theology, hasContributor, Gordon Wenham]
Generated description
Gordon Wenham is a prominent British biblical scholar and Old Testament commentator known for his influential works on Genesis and Pentateuchal studies.

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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5aa636588190ab36f76a3f200a7f completed May 6, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406ccaf0c081909f777dc3dfa43361 completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406db565b881909769124848e2b508 completed June 28, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a406e2e5e00819097b90719f08951c8 completed June 28, 2026, 12:43 a.m.
Created at: May 3, 2026, 4:16 p.m.