Triple

T17324595
Position Surface form Disambiguated ID Type / Status
Subject Herman Stein E420652 entity
Predicate name P16 FINISHED
Object Herman Stein E420652 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: Herman Stein | Statement: [Herman Stein, name, Herman Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman Stein
Context triple: [Herman Stein, name, Herman Stein]
  • A. Herman Stein chosen
    Herman Stein was an American composer best known for his film scores for mid-20th-century Hollywood genre movies, particularly science fiction and Westerns.
  • B. Leo Reisman
    Leo Reisman was an American dance bandleader and violinist popular in the 1920s and 1930s, known for his sophisticated society orchestra and numerous hit recordings of popular songs.
  • C. Bert Shefter
    Bert Shefter was a film composer best known for his collaborations on mid-20th-century science fiction and horror movie scores.
  • D. Herman Varnick
    Herman Varnick is the villainous veterinarian and primary antagonist in the family comedy film "Beethoven."
  • E. Curtis Jadwin
    Curtis Jadwin is the ambitious grain speculator who serves as the central figure in Frank Norris’s novel "The Pit: A Story of Chicago," embodying the risks and obsessions of early 20th-century commodities trading.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d18e3081908ca15baa743abcd8 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4a6630819082998cf754e8361f completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.