Triple

T1086664
Position Surface form Disambiguated ID Type / Status
Subject Rahm Emanuel E24067 entity
Predicate givenName P17 FINISHED
Object Rahm E24067 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: Rahm | Statement: [Rahm Emanuel, givenName, Rahm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rahm
Context triple: [Rahm Emanuel, givenName, Rahm]
  • A. Rahm chosen
    Rahm is the distinctive first name of American politician Rahm Emanuel, a former White House Chief of Staff and Mayor of Chicago.
  • B. Evers
    Evers is the surname of Medgar Evers, the prominent American civil rights activist assassinated in 1963 for his work challenging racial segregation and discrimination.
  • C. Lorenzo Semple Jr.
    Lorenzo Semple Jr. was an American screenwriter best known for his work on the 1960s Batman TV series and several high-profile films, including thrillers and action-adventures of the 1970s.
  • D. Rodriguez
    Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
  • E. Timothy James Mara
    Timothy James Mara was an American businessman best known as the founding owner of the New York Giants football franchise in the National Football League.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b963161081908a523c8d63871652 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42b1de9c8190ba5a4a0283034367 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.