Triple

T12175850
Position Surface form Disambiguated ID Type / Status
Subject Herbig–Haro object E290083 entity
Predicate discoveredBy P412 FINISHED
Object George Herbig E965911 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: George Herbig | Statement: [Herbig–Haro object, discoveredBy, George Herbig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Herbig
Context triple: [Herbig–Haro object, discoveredBy, George Herbig]
  • A. George Herbig chosen
    George Herbig was an American astronomer renowned for his pioneering studies of star formation and young stellar objects.
  • B. Werner Kreipe
    Werner Kreipe was a German Luftwaffe general who briefly served as acting Chief of Staff of the air force during World War II.
  • C. Karl G. Henize
    Karl G. Henize was an American astronomer and NASA astronaut who flew on the Space Shuttle Challenger as a mission specialist and was known for his work in ultraviolet astronomy.
  • D. Bart Bok
    Bart Bok was a Dutch-American astronomer renowned for his work on the structure of the Milky Way and the study of dark Bok globules in interstellar space.
  • E. Ian Messiter
    Ian Messiter was a British radio producer and game show creator best known for devising the long-running BBC Radio 4 panel show "Just a Minute."
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a88b8748190a6c95e143f370010 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.