Triple

T33211574
Position Surface form Disambiguated ID Type / Status
Subject Jilly Cooper E850175 entity
Predicate notableWork P4 FINISHED
Object The Man Who Made Husbands Jealous
The Man Who Made Husbands Jealous is a racy romantic novel by British author Jilly Cooper, centered on a charming philanderer whose affairs wreak havoc in an upper-middle-class English community.
 E2042453 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 Man Who Made Husbands Jealous | Statement: [Jilly Cooper, notableWork, The Man Who Made Husbands Jealous]
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 Man Who Made Husbands Jealous
Triple: [Jilly Cooper, notableWork, The Man Who Made Husbands Jealous]
Generated description
The Man Who Made Husbands Jealous is a racy romantic novel by British author Jilly Cooper, centered on a charming philanderer whose affairs wreak havoc in an upper-middle-class English community.

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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6da2b19b481909a88a6455bc9cef1 completed May 3, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fc865b481908cf4e3dd08807b39 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a3531155ee08190b5d61aeeb7872104 completed June 19, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_6a353289a394819081c95c8f6bb0fcc6 completed June 19, 2026, 12:14 p.m.
Created at: May 1, 2026, 1:30 a.m.