Triple

T10408182
Position Surface form Disambiguated ID Type / Status
Subject Provo City Cemetery E245319 entity
Predicate notableBurial P196 FINISHED
Object Reed Smoot E50929 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: Reed Smoot | Statement: [Provo City Cemetery, notableBurial, Reed Smoot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reed Smoot
Context triple: [Provo City Cemetery, notableBurial, Reed Smoot]
  • A. Reed Smoot chosen
    Reed Smoot was a powerful early 20th-century U.S. Senator from Utah and influential Republican policymaker best known for co-sponsoring the protectionist Smoot–Hawley Tariff Act of 1930.
  • B. Pat McCarran
    Pat McCarran was a powerful mid-20th-century U.S. senator from Nevada known for his influential role in shaping immigration and internal security laws during the early Cold War era.
  • C. Tom McClintock
    Tom McClintock is a Republican politician and longtime U.S. Representative from California known for his fiscally conservative and limited-government positions.
  • D. Theodor Mundt
    Theodor Mundt was a 19th-century German writer, critic, and journalist associated with the liberal literary movement Young Germany.
  • E. Lester Tenney
    Lester Tenney was an American World War II veteran, former prisoner of war, and author who became a prominent advocate for recognition and redress for survivors of Japanese wartime atrocities.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9f9b59881909797646fd8cd6a7e completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc2b06188190ad399e1b5a545aec completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:09 p.m.