Triple

T37534596
Position Surface form Disambiguated ID Type / Status
Subject Good Eats 3: The Later Years E933159 entity
Predicate relatedWork P37 FINISHED
Object Good Eats: The Early Years
Good Eats: The Early Years is a companion cookbook by Alton Brown that compiles and expands upon recipes, science explanations, and behind-the-scenes insights from the early seasons of his television show "Good Eats."
E2231579 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: Good Eats: The Early Years | Statement: [Good Eats 3: The Later Years, relatedWork, Good Eats: The Early Years]
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: Good Eats: The Early Years
Triple: [Good Eats 3: The Later Years, relatedWork, Good Eats: The Early Years]
Generated description
Good Eats: The Early Years is a companion cookbook by Alton Brown that compiles and expands upon recipes, science explanations, and behind-the-scenes insights from the early seasons of his television show "Good Eats."

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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3f9af308190ad7f92c2c2bd9114 completed May 6, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409f03e1b481908f0ff1e6f3a10214 completed June 28, 2026, 4:11 a.m.
NEDg Description generation batch_6a409f79e0408190b706813e9af454eb completed June 28, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_6a409fdd788c819086a875fe7c2d1aa3 completed June 28, 2026, 4:15 a.m.
Created at: May 3, 2026, 4:17 p.m.