Triple

T33510231
Position Surface form Disambiguated ID Type / Status
Subject Sometimes a Great Notion E858220 entity
Predicate mainCharacters P9202 FINISHED
Object Hank Stamper
Hank Stamper is the stubborn, fiercely independent logging man who serves as the central figure of Ken Kesey’s novel "Sometimes a Great Notion," embodying defiance against both nature and community pressures.
E2054338 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: Hank Stamper | Statement: [Sometimes a Great Notion, mainCharacters, Hank Stamper]
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: Hank Stamper
Triple: [Sometimes a Great Notion, mainCharacters, Hank Stamper]
Generated description
Hank Stamper is the stubborn, fiercely independent logging man who serves as the central figure of Ken Kesey’s novel "Sometimes a Great Notion," embodying defiance against both nature and community pressures.

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_69f3497721848190978fbee5e0a526f8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f66d016c8190b1c7fbd797ee1274 completed May 3, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595cae6908190bc73fa59210c80db completed June 19, 2026, 7:17 p.m.
NEDg Description generation batch_6a359d056bd48190a907f66e891cd571 completed June 19, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_6a359d5da07481908339a61ba12fbab5 completed June 19, 2026, 7:49 p.m.
Created at: May 1, 2026, 1:38 a.m.