Triple

T4545267
Position Surface form Disambiguated ID Type / Status
Subject Mir space station E110028 entity
Predicate notableAstronaut P25124 FINISHED
Object David Wolf E331959 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: David Wolf | Statement: [Mir space station, notableAstronaut, David Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Wolf
Context triple: [Mir space station, notableAstronaut, David Wolf]
  • A. David Wolf chosen
    David Wolf is an American astronaut and physician known for his long-duration missions aboard the Russian Mir space station and the International Space Station.
  • B. Richard Wolf
    Richard Wolf was a German-born Cuban diplomat, inventor, and philanthropist best known for founding the Wolf Foundation, which awards the prestigious Wolf Prizes in fields such as science and the arts.
  • C. Daniel A. Wolf
    Daniel A. Wolf is an American entrepreneur and politician best known as the founder of regional airline Cape Air and as a former Massachusetts state senator.
  • D. Edward Reeves
    Edward Reeves was a teacher and mentor known for instructing Lionel Logue, the Australian speech therapist famous for treating King George VI.
  • E. Ian Wolfe
    Ian Wolfe was an American character actor known for his prolific career in film and television from the 1930s through the 1980s, often portraying dignified or scholarly supporting roles.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd62334e4081908ad7ad18d759663d completed March 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb936f3348190af0784d472bff312 completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:05 p.m.