Triple

T19278528
Position Surface form Disambiguated ID Type / Status
Subject STS-48 E482120 entity
Predicate crewMember P2094 FINISHED
Object Mark N. Brown
Mark N. Brown is a former NASA astronaut and U.S. Air Force officer who flew on two Space Shuttle missions, including STS-48.
 E1500610 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: Mark N. Brown | Statement: [STS-48, crewMember, Mark N. Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark N. Brown
Context triple: [STS-48, crewMember, Mark N. Brown]
  • A. David R. Brown
    David R. Brown was an architect known for designing New Haven City Hall in New Haven, Connecticut.
  • B. Wesley A. Brown
    Wesley A. Brown was the first African American graduate of the United States Naval Academy and a pioneering U.S. Navy officer.
  • C. David H. Brown
    David H. Brown was one of the defendants tried alongside Dr. Ossian Sweet in the landmark 1925 Detroit case involving racial tensions, self-defense, and housing segregation.
  • D. Jeffrey G. Brown
    Jeffrey G. Brown is a television and film producer known for his executive production work on projects such as the 2004 miniseries adaptation of Stephen King’s "Salem’s Lot."
  • E. Mark C. Carnes
    Mark C. Carnes is an American historian and professor known for his work on U.S. history and for developing innovative role-immersion pedagogy in higher education.
  • 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: Mark N. Brown
Triple: [STS-48, crewMember, Mark N. Brown]
Generated description
Mark N. Brown is a former NASA astronaut and U.S. Air Force officer who flew on two Space Shuttle missions, including STS-48.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark N. Brown
Target entity description: Mark N. Brown is a former NASA astronaut and U.S. Air Force officer who flew on two Space Shuttle missions, including STS-48.
  • A. David R. Brown
    David R. Brown was an architect known for designing New Haven City Hall in New Haven, Connecticut.
  • B. Wesley A. Brown
    Wesley A. Brown was the first African American graduate of the United States Naval Academy and a pioneering U.S. Navy officer.
  • C. David H. Brown
    David H. Brown was one of the defendants tried alongside Dr. Ossian Sweet in the landmark 1925 Detroit case involving racial tensions, self-defense, and housing segregation.
  • D. Jeffrey G. Brown
    Jeffrey G. Brown is a television and film producer known for his executive production work on projects such as the 2004 miniseries adaptation of Stephen King’s "Salem’s Lot."
  • E. Mark C. Carnes
    Mark C. Carnes is an American historian and professor known for his work on U.S. history and for developing innovative role-immersion pedagogy in higher education.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbe6e9c8190a7fa2ef3aa598e6c completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a36590b5481909f9b278b8986f9ff completed May 17, 2026, 9:42 p.m.
NEDg Description generation batch_6a0a37879a408190b516ec16a2b23195 completed May 17, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37f8c09c8190a92f78909cfbc6e7 completed May 17, 2026, 9:49 p.m.
Created at: April 10, 2026, 1:30 p.m.