Triple

T4113108
Position Surface form Disambiguated ID Type / Status
Subject Department of Defense Medal for Distinguished Public Service E90222 entity
Predicate notableRecipient P108 FINISHED
Object Sam Nunn E390003 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: Sam Nunn | Statement: [Department of Defense Medal for Distinguished Public Service, notableRecipient, Sam Nunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Nunn
Context triple: [Department of Defense Medal for Distinguished Public Service, notableRecipient, Sam Nunn]
  • A. Sam Nunn chosen
    Sam Nunn is a former United States Senator from Georgia known for his influential work on national security, defense policy, and nuclear nonproliferation.
  • B. Don Payne
    Don Payne was an American screenwriter and producer best known for his work on comedic television series like "The Simpsons" and superhero films such as "Thor."
  • C. Ernest Hollings
    Ernest Hollings was a long-serving U.S. senator from South Carolina known for his influential role in federal budget policy and fiscal reform.
  • D. Bill Graves
    Bill Graves is an American politician who served as the 43rd Governor of Kansas from 1995 to 2003.
  • E. Tom Watson
    Tom Watson is a central character in the psychological thriller film "The Girl on the Train," depicted as the unfaithful ex-husband whose deceit and manipulation drive much of the story’s suspense and mystery.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01e06ce48190b840d931e44095ea completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8adc748190be7b34ff37ae3618 completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.