Triple

T37918598
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Kriegman E945891 entity
Predicate hasWrittenFor P11775 FINISHED
Object The National Lampoon Radio Hour
The National Lampoon Radio Hour was a 1970s American comedy radio show known for its satirical sketches and as an early platform for future stars like John Belushi, Chevy Chase, and Gilda Radner.
 E2248550 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: The National Lampoon Radio Hour | Statement: [Mitchell Kriegman, hasWrittenFor, The National Lampoon Radio Hour]
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: The National Lampoon Radio Hour
Triple: [Mitchell Kriegman, hasWrittenFor, The National Lampoon Radio Hour]
Generated description
The National Lampoon Radio Hour was a 1970s American comedy radio show known for its satirical sketches and as an early platform for future stars like John Belushi, Chevy Chase, and Gilda Radner.

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_69f76ef2ebd88190be5229f2621070b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbd77c1388190aaa5c2f9b7c2a9d5 completed May 6, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cd2e2ec819094f052f317c489c0 completed June 28, 2026, noon
NEDg Description generation batch_6a410d70ba0c8190bdcab9e762c92884 completed June 28, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a410e3dd828819099fc3a413bcfbeb9 completed June 28, 2026, 12:06 p.m.
Created at: May 3, 2026, 4:20 p.m.