Triple

T3130589
Position Surface form Disambiguated ID Type / Status
Subject 13th E65400 entity
Predicate featuresInterviewWith P17405 FINISHED
Object Cory Booker E162296 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: Cory Booker | Statement: [13th, featuresInterviewWith, Cory Booker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cory Booker
Context triple: [13th, featuresInterviewWith, Cory Booker]
  • A. Cory Booker chosen
    Cory Booker is an American politician and U.S. Senator from New Jersey known for his progressive policies, advocacy for criminal justice reform, and charismatic public presence.
  • B. Donald M. Payne Jr.
    Donald M. Payne Jr. is an American Democratic politician who has served as a U.S. Representative from New Jersey, succeeding his late father, Donald M. Payne Sr.
  • C. John Pallone
    John Pallone is an American local politician who serves as the mayor of Long Branch, New Jersey.
  • D. William L. Dayton
    William L. Dayton was a 19th-century American politician and diplomat who served as a U.S. senator from New Jersey and later as U.S. minister to France during the Civil War.
  • E. Frank Lautenberg
    Frank Lautenberg was a long-serving United States Senator from New Jersey and a prominent Democratic politician known for his work on public health, transportation safety, and environmental legislation.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada54b0e688190b691771f17f4c721 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7f9e288190af5f2b2aa6ff63b3 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.