Triple

T3226250
Position Surface form Disambiguated ID Type / Status
Subject Stanley Koop E67628 entity
Predicate name P16 FINISHED
Object Stanley Koop E67628 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: Stanley Koop | Statement: [Stanley Koop, name, Stanley Koop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Koop
Context triple: [Stanley Koop, name, Stanley Koop]
  • A. Stanley Koop chosen
    Stanley Koop is an individual notable enough to be recognized as a prominent bearer of the surname Koop.
  • B. Stanley Arnold
    Stanley Arnold is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Arnold.
  • C. Frank Palko
    Frank Palko was the criminal defendant at the center of the landmark U.S. Supreme Court case Palko v. Connecticut, which shaped the doctrine of selective incorporation of Bill of Rights protections to the states.
  • D. Kurt Kasznar
    Kurt Kasznar was an Austrian-American character actor known for his prolific work in mid-20th-century film, television, and theater, often portraying urbane or authoritative supporting roles.
  • E. Frank Bracht
    Frank Bracht was an American film editor known for his work on mid-20th-century Hollywood productions, including the biographical drama "Harlow" (1965).
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb4cd3481908af8a2c9b6c0742d completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26262af848190a918f3a606bfa616 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.