Triple

T7775654
Position Surface form Disambiguated ID Type / Status
Subject Scarlet Street E221382 entity
Predicate musicBy P1952 FINISHED
Object Hans J. Salter E419943 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: Hans J. Salter | Statement: [Scarlet Street, musicBy, Hans J. Salter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans J. Salter
Context triple: [Scarlet Street, musicBy, Hans J. Salter]
  • A. Hans J. Salter chosen
    Hans J. Salter was a prolific film composer best known for his atmospheric scores for Universal Pictures’ classic horror and science-fiction movies in the 1930s and 1940s.
  • B. Harold Huth
    Harold Huth was a British film director, producer, and occasional actor active in the mid-20th century, known for his work in the British studio system.
  • C. Erwin Hillier
    Erwin Hillier was a German-born British cinematographer renowned for his work on classic mid-20th-century films, particularly in the British film industry.
  • D. William Ashburner
    William Ashburner was a 19th-century American mining engineer and geologist known for his work in mineral surveying and resource assessment in the western United States.
  • E. Alvin Marks
    Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d005808190ac14c8d716421bdb completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf58a86548190b870417692e4b654 completed March 30, 2026, 10:13 p.m.
Created at: March 30, 2026, 3:51 p.m.