Triple

T15189588
Position Surface form Disambiguated ID Type / Status
Subject "Fake Words" E362970 entity
Predicate performer P1363 FINISHED
Object Henry Hall E1143021 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: Henry Hall | Statement: ["Fake Words", performer, Henry Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Hall
Context triple: ["Fake Words", performer, Henry Hall]
  • A. Henry Hall
    Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
  • B. Henry Hall chosen
    Henry Hall is a musician and singer-songwriter known for his quirky, lyrically inventive indie-pop songs.
  • C. Henry Hall
    Henry Hall was a mountaineer notable for making the first recorded ascent of Alaska’s Mount Hayes.
  • D. Henry Burden
    Henry Burden was a 19th-century Scottish-American industrialist and inventor known for revolutionizing iron manufacturing, particularly through his patented horseshoe machine and development of the Burden Iron Works in Troy, New York.
  • E. Granville Bates
    Granville Bates was an American character actor of the early 20th century, known for his supporting roles in numerous Hollywood films of the 1930s and early 1940s.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067beedc8190abc0a94c7a38f85e completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2bff388190881396685edd1787 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:10 a.m.