Triple

T19582902
Position Surface form Disambiguated ID Type / Status
Subject Have Space Suit—Will Travel E490039 entity
Predicate plotSummary P264 FINISHED
Object A teenager wins a used space suit in a contest and is drawn into an interstellar adventure involving alien races and a trial of humanity. LITERAL FINISHED

How this triple was built (1 step)

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: A teenager wins a used space suit in a contest and is drawn into an interstellar adventure involving alien races and a trial of humanity. | Statement: [Have Space Suit—Will Travel, plotSummary, A teenager wins a used space suit in a contest and is drawn into an interstellar adventure involving alien races and a trial of humanity.]

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6404f34b081908aeb9cc9a5ddf539 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.