Triple

T10060429
Position Surface form Disambiguated ID Type / Status
Subject Gene Kranz E212973 entity
Predicate familyName P18 FINISHED
Object Kranz
Kranz is a German surname most notably associated with Gene Kranz, the NASA flight director famed for his leadership during the Apollo missions.
 E838804 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: Kranz | Statement: [Gene Kranz, familyName, Kranz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kranz
Context triple: [Gene Kranz, familyName, Kranz]
  • A. Schoen
    Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
  • B. Krause
    Krause is a German-origin surname borne by numerous notable individuals across sports, politics, science, and the arts.
  • C. Biberwier
    Biberwier is a small alpine village and municipality in the Tyrolean Zugspitz Arena of western Austria, known for its mountain scenery and outdoor recreation.
  • D. Behanzin
    Behanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
  • E. Schildkraut
    Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
  • 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: Kranz
Triple: [Gene Kranz, familyName, Kranz]
Generated description
Kranz is a German surname most notably associated with Gene Kranz, the NASA flight director famed for his leadership during the Apollo missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kranz
Target entity description: Kranz is a German surname most notably associated with Gene Kranz, the NASA flight director famed for his leadership during the Apollo missions.
  • A. Schoen
    Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
  • B. Krause
    Krause is a German-origin surname borne by numerous notable individuals across sports, politics, science, and the arts.
  • C. Biberwier
    Biberwier is a small alpine village and municipality in the Tyrolean Zugspitz Arena of western Austria, known for its mountain scenery and outdoor recreation.
  • D. Behanzin
    Behanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
  • E. Schildkraut
    Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd0d23081909510785ef8a186a3 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a6779348190ab8db058fb6e5ce1 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29c76b84081909e23944c792aecbd completed April 5, 2026, 5:31 p.m.
NED2 Entity disambiguation (via description) batch_69d29ce64bf0819089e8ab126e33180e completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:57 p.m.