Triple

T26969459
Position Surface form Disambiguated ID Type / Status
Subject Stewart Holbrook E679267 entity
Predicate wrote P2831 FINISHED
Object The Age of the Moguls
The Age of the Moguls is a historical nonfiction book that chronicles the rise and influence of America’s great industrial and financial tycoons during the Gilded Age and early 20th century.
E1749548 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 Age of the Moguls | Statement: [Stewart Holbrook, wrote, The Age of the Moguls]
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 Age of the Moguls
Triple: [Stewart Holbrook, wrote, The Age of the Moguls]
Generated description
The Age of the Moguls is a historical nonfiction book that chronicles the rise and influence of America’s great industrial and financial tycoons during the Gilded Age and early 20th century.

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_69eeeb4f3a448190b1e94b2d4776c16e completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621233f2c81908c237f20c50c2ba3 completed May 2, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229a773d481909d3cec96e3020fc0 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122a0749a481908d0fc424ca1f8570 completed May 23, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a122ac1713481909a80761bb471ef49 completed May 23, 2026, 10:31 p.m.
Created at: April 27, 2026, 6:38 a.m.