Triple

T22275429
Position Surface form Disambiguated ID Type / Status
Subject Samuel Roth E550590 entity
Predicate name P16 FINISHED
Object Samuel Roth NE NERFINISHED

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: Samuel Roth | Statement: [Samuel Roth, name, Samuel Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Roth
Context triple: [Samuel Roth, name, Samuel Roth]
  • A. Samuel Roth chosen
    Samuel Roth was an American publisher and bookseller best known for his role in landmark obscenity and free-speech legal battles, including the Supreme Court case Roth v. United States.
  • B. Herman Roth
    Herman Roth is the working-class Jewish father whose steadfast opposition to rising fascism anchors Philip Roth’s alternate-history novel "The Plot Against America."
  • C. Edgar Lobel
    Edgar Lobel was a prominent classical scholar and papyrologist known for his influential work on Greek literary papyri and fragmentary texts.
  • D. Leon Golub
    Leon Golub was an American painter known for his large-scale, politically charged figurative works that confronted themes of violence, power, and oppression.
  • E. Fred Lebensold
    Fred Lebensold was a prominent Canadian architect best known for designing major cultural and performing arts venues across Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea7ebbc8190948e8994e988adb3 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.