Triple

T11781803
Position Surface form Disambiguated ID Type / Status
Subject Kevin O’Donnell Jr. E280163 entity
Predicate describedBySource P519 FINISHED
Object Science Fiction and Fantasy Writers of America publications LITERAL FINISHED

How this triple was built (1 step)

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: Science Fiction and Fantasy Writers of America publications | Statement: [Kevin O’Donnell Jr., describedBySource, Science Fiction and Fantasy Writers of America publications]

Provenance (2 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a58413048190b9e3b9d2f5383ec3 completed April 10, 2026, 7:23 a.m.
Created at: April 8, 2026, 9:42 p.m.