Triple

T19583533
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Sold the Moon E490052 entity
Predicate workChronologyInSeries P5172 FINISHED
Object early story in Future History timeline LITERAL 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: early story in Future History timeline | Statement: [The Man Who Sold the Moon, workChronologyInSeries, early story in Future History timeline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workChronologyInSeries
Context triple: [The Man Who Sold the Moon, workChronologyInSeries, early story in Future History timeline]
  • A. workChronologyWithinParallelLives
    Indicates that one work’s chronological placement is defined relative to another work within a set of parallel or alternative life narratives.
  • B. workedOnSeries
    Indicates that an entity contributed work to the creation or production of a particular series.
  • C. workChronicles
    Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
  • D. chronologySeries
    Indicates that one entity is part of, or defines, a chronological sequence or ordered series of events or items.
  • E. workChronologyPosition chosen
    Indicates the relative ordering or position of a work within a sequence of works, such as in a career, series, or catalog.
  • F. None of above.

Provenance (3 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.
PD Predicate disambiguation batch_69e514dbdb988190b55931a8138c73e7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:42 p.m.