Triple

T30575745
Position Surface form Disambiguated ID Type / Status
Subject Norman Maclean E778239 entity
Predicate hasRelative P367 FINISHED
Object Paul Maclean
Paul Maclean was the younger brother of author Norman Maclean, remembered as a gifted but troubled fly fisherman whose life and tragic death are central to the memoir "A River Runs Through It."
E1938714 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: Paul Maclean | Statement: [Norman Maclean, hasRelative, Paul Maclean]
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: Paul Maclean
Triple: [Norman Maclean, hasRelative, Paul Maclean]
Generated description
Paul Maclean was the younger brother of author Norman Maclean, remembered as a gifted but troubled fly fisherman whose life and tragic death are central to the memoir "A River Runs Through It."

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_69f2249f8c148190ae7eb3912cde112a completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6893cedbc8190af12752ccae5e062 completed May 2, 2026, 11:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28e44436b081908045e897ee3e1838 completed June 10, 2026, 4:12 a.m.
NEDg Description generation batch_6a28e5d64acc8190a55f62956b048f5f completed June 10, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a28e63ed86881909fa7b74f66b30ece completed June 10, 2026, 4:21 a.m.
Created at: April 29, 2026, 8:22 p.m.