Triple

T16648330
Position Surface form Disambiguated ID Type / Status
Subject Bruce Baldwin E404533 entity
Predicate contrastsWith P278 FINISHED
Object Walter Burns E322296 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: Walter Burns | Statement: [Bruce Baldwin, contrastsWith, Walter Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Burns
Context triple: [Bruce Baldwin, contrastsWith, Walter Burns]
  • A. Walter Burns chosen
    Walter Burns is the fast-talking, manipulative newspaper editor at the center of the classic newsroom comedy "The Front Page."
  • B. Tim Wentworth
    Tim Wentworth is an American business executive known for leading major healthcare and pharmacy-related companies, including serving as CEO of Walgreens Boots Alliance.
  • C. Walter Newman
    Walter Newman was an American screenwriter known for his work on classic films such as "The Magnificent Seven" and "Cat Ballou."
  • D. Charles Ewing
    Charles Ewing was a 19th-century American lawyer, Union Army general in the Civil War, and later a federal official, known as a prominent member of the influential Ewing family.
  • E. Paul Vance
    Paul Vance was an American songwriter best known for penning numerous pop hits in the 1960s and 1970s, including the novelty song "Itsy Bitsy Teenie Weenie Yellow Polka Dot Bikini."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad794388190b2817d2ec5ff0de0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.