Triple

T34782835
Position Surface form Disambiguated ID Type / Status
Subject Darling Monster E1002718 entity
Predicate hasRelativeRelationship P27845 FINISHED
Object Lady Diana Cooper is grandmother of Frances Osborne
Darling Monster is a collection of letters written by Lady Diana Cooper, offering an intimate portrait of her life and times.
E1348898 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: Lady Diana Cooper is grandmother of Frances Osborne | Statement: [Darling Monster, hasRelativeRelationship, Lady Diana Cooper is grandmother of Frances Osborne]
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: Lady Diana Cooper is grandmother of Frances Osborne
Triple: [Darling Monster, hasRelativeRelationship, Lady Diana Cooper is grandmother of Frances Osborne]
Generated description
Darling Monster is a collection of letters written by Lady Diana Cooper, offering an intimate portrait of her life and times.

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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a5bce8c8190b9435e9953889448 completed May 3, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3766451b488190aef27306f578831b completed June 21, 2026, 4:19 a.m.
NEDg Description generation batch_6a3766afda04819081d321be271dc20d completed June 21, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3767983f288190874423971323fd8d completed June 21, 2026, 4:24 a.m.
Created at: May 3, 2026, 3:59 p.m.