Triple

T15663356
Position Surface form Disambiguated ID Type / Status
Subject Ramon E376622 entity
Predicate notableBearer P458 FINISHED
Object Ilan Ramon E74057 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: Ilan Ramon | Statement: [Ramon, notableBearer, Ilan Ramon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilan Ramon
Context triple: [Ramon, notableBearer, Ilan Ramon]
  • A. Ilan Ramon chosen
    Ilan Ramon was the first Israeli astronaut, a payload specialist on the ill-fated Space Shuttle Columbia mission STS-107.
  • B. Yangel
    Yangel is a Ukrainian surname most notably associated with Mikhail Yangel, a prominent Soviet rocket engineer and designer.
  • C. Wubbo J. Ockels
    Wubbo J. Ockels was a Dutch physicist, astronaut, and professor who became the first citizen of the Netherlands to travel into space.
  • D. Gagarina
    Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
  • E. Yury Kulik
    Yury Kulik is a notable individual who shares the surname Kulik, though specific widely recognized biographical or professional details about him are not well documented in major public sources.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed6f50c81909d87ced263064f0d completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:16 a.m.