Triple

T19952335
Position Surface form Disambiguated ID Type / Status
Subject Studs Terkel E479591 entity
Predicate birthName P65 FINISHED
Object Louis Terkel 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: Louis Terkel | Statement: [Studs Terkel, birthName, Louis Terkel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Terkel
Context triple: [Studs Terkel, birthName, Louis Terkel]
  • A. Studs Terkel chosen
    Studs Terkel was an American author, historian, and radio broadcaster best known for his oral histories that captured the voices and experiences of everyday people.
  • B. J. Anthony Lukas
    J. Anthony Lukas was a Pulitzer Prize–winning American journalist and author renowned for his deeply reported narrative nonfiction on social and political issues.
  • C. James Charles Lehrer
    James Charles Lehrer was an American journalist and longtime anchor of the PBS NewsHour, renowned for moderating numerous U.S. presidential debates.
  • D. Larry Konner
    Larry Konner is a screenwriter best known for co-writing the film adaptation of the fantasy novel "Eragon."
  • E. Paul Buhle
    Paul Buhle is an American historian and editor known for his work on radical politics, labor history, and comics, often exploring the intersection of leftist movements and popular culture.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6c87388190a1bada3117acaf7b completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.