Triple

T8264639
Position Surface form Disambiguated ID Type / Status
Subject SMEX-Lite E193271 entity
Predicate missionClass P22637 FINISHED
Object Small Explorer
Small Explorer is a NASA program of relatively low-cost, focused scientific space missions designed to investigate specific astrophysical and heliophysical questions.
 E722103 NE FINISHED

How this triple was built (4 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: Small Explorer | Statement: [SMEX-Lite, missionClass, Small Explorer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Small Explorer
Context triple: [SMEX-Lite, missionClass, Small Explorer]
  • A. Kleiner
    Kleiner is a surname most notably associated with Eugene Kleiner, a pioneering Silicon Valley venture capitalist and co-founder of the firm Kleiner Perkins.
  • B. Tiny
    Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
  • C. Tiny
    Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
  • D. Little
    Little is a 2019 fantasy-comedy film in which a domineering tech executive is magically transformed into her younger self, forcing her to relive middle school and confront her past behavior.
  • E. Little
    Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Small Explorer
Triple: [SMEX-Lite, missionClass, Small Explorer]
Generated description
Small Explorer is a NASA program of relatively low-cost, focused scientific space missions designed to investigate specific astrophysical and heliophysical questions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Small Explorer
Target entity description: Small Explorer is a NASA program of relatively low-cost, focused scientific space missions designed to investigate specific astrophysical and heliophysical questions.
  • A. Kleiner
    Kleiner is a surname most notably associated with Eugene Kleiner, a pioneering Silicon Valley venture capitalist and co-founder of the firm Kleiner Perkins.
  • B. Tiny
    Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
  • C. Tiny
    Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
  • D. Little
    Little is a 2019 fantasy-comedy film in which a domineering tech executive is magically transformed into her younger self, forcing her to relive middle school and confront her past behavior.
  • E. Little
    Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
  • F. None of above. chosen

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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb793aa8f08190b20b3616ceb9bec7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd4e5e9a2c819099a65053a12c8fde completed April 1, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69cd507ce2a881909da6871a9f6df119 completed April 1, 2026, 5:06 p.m.
Created at: March 30, 2026, 5:49 p.m.