Triple

T10252876
Position Surface form Disambiguated ID Type / Status
Subject Ragtime E240386 entity
Predicate featuresHistoricalCharacter P18777 FINISHED
Object Harry Houdini E733901 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: Harry Houdini | Statement: [Ragtime, featuresHistoricalCharacter, Harry Houdini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Houdini
Context triple: [Ragtime, featuresHistoricalCharacter, Harry Houdini]
  • A. Harry Houdini chosen
    Harry Houdini was a world-famous early 20th-century magician and escape artist renowned for his daring stunts, illusions, and feats of physical endurance.
  • B. Uri Geller
    Uri Geller is an Israeli-British illusionist and self-proclaimed psychic best known for his controversial spoon-bending feats and high-profile demonstrations of alleged paranormal abilities.
  • C. Arthur Barker
    Arthur Barker was a notorious American criminal and member of the Barker–Karpis gang during the 1930s.
  • D. Victor Saville
    Victor Saville was a British film director and producer known for his work in both the UK and Hollywood during the early to mid-20th century.
  • E. Clyde Beatty
    Clyde Beatty was a famous American animal trainer and circus performer known for his daring big-cat acts and appearances in early adventure films.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfbfa26c8190b536655d33112ddf completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7c6aca08190b15e3790cad12532 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:29 a.m.