Triple

T34571550
Position Surface form Disambiguated ID Type / Status
Subject The Black Cloud E887638 entity
Predicate hasNotableCharacter P7927 FINISHED
Object Christopher Kingsley
Christopher Kingsley is a central character in Fred Hoyle’s science fiction novel "The Black Cloud," involved in humanity’s scientific and political response to a mysterious cosmic entity threatening Earth.
E2125696 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: Christopher Kingsley | Statement: [The Black Cloud, hasNotableCharacter, Christopher Kingsley]
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: Christopher Kingsley
Triple: [The Black Cloud, hasNotableCharacter, Christopher Kingsley]
Generated description
Christopher Kingsley is a central character in Fred Hoyle’s science fiction novel "The Black Cloud," involved in humanity’s scientific and political response to a mysterious cosmic entity threatening Earth.

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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72094e2b48190b7e1d98623ceef0e completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfcdd88c81909ee118f17a5fb1cc completed June 21, 2026, 11:49 a.m.
NEDg Description generation batch_6a37d07ba708819081b552b8a69313e5 completed June 21, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37d1935d9881909cee3755fec2d996 completed June 21, 2026, 11:57 a.m.
Created at: May 1, 2026, 2:03 a.m.