Triple

T17119964
Position Surface form Disambiguated ID Type / Status
Subject Sam Brownback E415437 entity
Predicate succeededBy P78 FINISHED
Object Jerry Moran
Jerry Moran is a Republican U.S. Senator from Kansas known for his work on veterans’ issues, rural development, and agriculture policy.
E1259138 NE FINISHED

How this triple was built (4 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: Jerry Moran | Statement: [Sam Brownback, succeededBy, Jerry Moran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Moran
Context triple: [Sam Brownback, succeededBy, Jerry Moran]
  • A. Mike Moran
    Mike Moran is a British composer, arranger, and keyboardist known for his work on film scores, television music, and collaborations with prominent artists.
  • B. Joe Flaherty
    Joe Flaherty was a Canadian-American comedian and actor best known as an original cast member and writer on the sketch comedy series SCTV.
  • C. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • D. Austin O'Brien
    Austin O'Brien is an American actor best known for his childhood roles in 1990s films such as "Last Action Hero" and "My Girl 2."
  • E. Tom O'Brien
    Tom O'Brien is a media executive and broadcaster best known for his leadership and on-air roles at The Weather Channel.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jerry Moran
Triple: [Sam Brownback, succeededBy, Jerry Moran]
Generated description
Jerry Moran is a Republican U.S. Senator from Kansas known for his work on veterans’ issues, rural development, and agriculture policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jerry Moran
Target entity description: Jerry Moran is a Republican U.S. Senator from Kansas known for his work on veterans’ issues, rural development, and agriculture policy.
  • A. Mike Moran
    Mike Moran is a British composer, arranger, and keyboardist known for his work on film scores, television music, and collaborations with prominent artists.
  • B. Patrick Mulvaney
    Patrick Mulvaney is one of the central members of the Mulvaney family in Joyce Carol Oates’s novel "We Were the Mulvaneys," whose experiences reflect the story’s themes of trauma, family dissolution, and the struggle for redemption.
  • C. Joe Flaherty
    Joe Flaherty was a Canadian-American comedian and actor best known as an original cast member and writer on the sketch comedy series SCTV.
  • D. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • E. Austin O'Brien
    Austin O'Brien is an American actor best known for his childhood roles in 1990s films such as "Last Action Hero" and "My Girl 2."
  • F. None of above. chosen

Provenance (5 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8092b548190b45c1695be47edc2 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e153808190b2a253f64da87737 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a01726ae14081909d11434e378d3e1c completed May 11, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a017525d8108190b2fff7d96beff345 completed May 11, 2026, 6:20 a.m.
Created at: April 10, 2026, 5:36 a.m.