Triple

T29120518
Position Surface form Disambiguated ID Type / Status
Subject The Stars My Destination E737167 entity
Predicate hasCharacter P2308 FINISHED
Object Jisbella McQueen
Jisbella McQueen is a key supporting character in Alfred Bester’s science fiction novel "The Stars My Destination," known for her complex relationship with the protagonist and her role in his moral and emotional development.
E1851838 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: Jisbella McQueen | Statement: [The Stars My Destination, hasCharacter, Jisbella McQueen]
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: Jisbella McQueen
Triple: [The Stars My Destination, hasCharacter, Jisbella McQueen]
Generated description
Jisbella McQueen is a key supporting character in Alfred Bester’s science fiction novel "The Stars My Destination," known for her complex relationship with the protagonist and her role in his moral and emotional development.

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_69f077ed54e08190bb02a744e8121a66 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f661f3e9d48190bea96aeb602ab631 completed May 2, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537ca9fd4819082b8559c2b00d38d completed June 7, 2026, 9:20 a.m.
NEDg Description generation batch_6a253bf87598819087116abf2274d649 completed June 7, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_6a25470a98f48190b7afa02e39675cc3 completed June 7, 2026, 10:25 a.m.
Created at: April 28, 2026, 11:25 a.m.