Triple

T32284224
Position Surface form Disambiguated ID Type / Status
Subject Henry Baum E824780 entity
Predicate notableWork P4 FINISHED
Object The American Book of the Dead
The American Book of the Dead is a novel by Henry Baum that blends dark satire and speculative fiction in a story about a writer whose apocalyptic manuscript begins to mirror reality.
 E2000883 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 American Book of the Dead | Statement: [Henry Baum, notableWork, The American Book of the Dead]
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 American Book of the Dead
Triple: [Henry Baum, notableWork, The American Book of the Dead]
Generated description
The American Book of the Dead is a novel by Henry Baum that blends dark satire and speculative fiction in a story about a writer whose apocalyptic manuscript begins to mirror reality.

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_69f3490f404081908450db66884f4334 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bccd1aa88190882a5dbb8100ca1e completed May 3, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46ec2ad881908ba78cb0d030c99c completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f481af6f081909c675376d09345df completed June 15, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_6a301ae519348190a8563be3d2c124d0 completed June 15, 2026, 3:31 p.m.
Created at: May 1, 2026, 12:43 a.m.