Triple

T3617006
Position Surface form Disambiguated ID Type / Status
Subject Invasion of Tinian E76626 entity
Predicate commander P1061 FINISHED
Object Harry Schmidt E29718 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 Schmidt | Statement: [Invasion of Tinian, commander, Harry Schmidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Schmidt
Context triple: [Invasion of Tinian, commander, Harry Schmidt]
  • A. Harry Schmidt chosen
    Harry Schmidt was a United States Marine Corps general who led Marine forces in major World War II Pacific campaigns, including the Battle of Iwo Jima.
  • B. Michael Schroeder
    Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
  • C. Arthur Schmidt
    Arthur Schmidt is an American film editor best known for his Academy Award–winning work on major films such as "Forrest Gump" and "Who Framed Roger Rabbit."
  • D. Matthew Schmidt
    Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
  • E. Michael Hainisch
    Michael Hainisch was an Austrian politician and statesman who served as the first democratically elected President of Austria in the early 20th century.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc27c98088190a493c9eddf6b206a completed March 8, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331a82688190add137b1f68c955e completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.