Triple

T28657490
Position Surface form Disambiguated ID Type / Status
Subject The Blackwell Companion to Natural Theology E725372 entity
Predicate hasContributor P4244 FINISHED
Object Robin Collins
Robin Collins is a philosopher best known for his work on the fine-tuning argument and contributions to contemporary natural theology.
E1856318 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: Robin Collins | Statement: [The Blackwell Companion to Natural Theology, hasContributor, Robin Collins]
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: Robin Collins
Triple: [The Blackwell Companion to Natural Theology, hasContributor, Robin Collins]
Generated description
Robin Collins is a philosopher best known for his work on the fine-tuning argument and contributions to contemporary natural theology.

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_69f652ea0c88819094de1859f7f9c3a8 completed May 2, 2026, 7:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a256994e2848190b3f119ade53eb9be completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256de41c4481909176bfe24f1e4fe8 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a25724ed7588190862ceef339305f35 completed June 7, 2026, 1:29 p.m.
Created at: April 28, 2026, 4:56 a.m.