Triple

T26149671
Position Surface form Disambiguated ID Type / Status
Subject Sounder E659779 entity
Predicate character P662 FINISHED
Object David Lee Morgan
David Lee Morgan is a character from William H. Armstrong’s novel "Sounder," representing one of the figures in the story’s portrayal of an African American sharecropping family in the rural American South.
E1714054 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: David Lee Morgan | Statement: [Sounder, character, David Lee Morgan]
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: David Lee Morgan
Triple: [Sounder, character, David Lee Morgan]
Generated description
David Lee Morgan is a character from William H. Armstrong’s novel "Sounder," representing one of the figures in the story’s portrayal of an African American sharecropping family in the rural American South.

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_69ee5bc496a88190af7deb7ab5e081de completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60c0a164c819098ef0266d84c3bdf completed May 2, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11856cd7488190b733fd99da137673 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11861e622c8190a73ab247d696435a completed May 23, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a1186bd48e48190a397267a101ef076 completed May 23, 2026, 10:51 a.m.
Created at: April 26, 2026, 8:24 p.m.