Triple

T10417129
Position Surface form Disambiguated ID Type / Status
Subject Henry Beam Piper E245546 entity
Predicate hasPart P35 FINISHED
Object Space Viking E862303 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: Space Viking | Statement: [Henry Beam Piper, hasPart, Space Viking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Space Viking
Context triple: [Henry Beam Piper, hasPart, Space Viking]
  • A. Space Viking chosen
    Space Viking is a 1963 science fiction novel by H. Beam Piper that follows interstellar raiders and political intrigue in a decaying galactic empire.
  • B. Mission: SPACE
    Mission: SPACE is a spaceflight-simulation attraction at EPCOT that immerses guests in a realistic, high-intensity mission to Mars experience.
  • C. Space Hanlon
    Space Hanlon is a fast-talking Hollywood press agent character in the 1933 screwball comedy film "Bombshell," known for managing and manipulating the career of movie star Lola Burns.
  • D. Another Space
    "Another Space" is a musical work by Canadian pianist and composer Frank Mills, known for his easy-listening and instrumental pop style.
  • E. Voyager
    Voyager is the Royal Air Force’s multi-role tanker transport aircraft, providing air-to-air refuelling and strategic airlift capabilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea1194e08190a18c3b3002147493 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9b86648190b83eb5261c9a7b97 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:11 p.m.