Triple

T13912232
Position Surface form Disambiguated ID Type / Status
Subject Pat Suzuki E334525 entity
Predicate spouse P13 FINISHED
Object Mark Shaw
Mark Shaw is best known as the husband of American singer and actress Pat Suzuki.
 E1067264 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: Mark Shaw | Statement: [Pat Suzuki, spouse, Mark Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Shaw
Context triple: [Pat Suzuki, spouse, Mark Shaw]
  • A. Chris Shaw
    Chris Shaw is an American professional baseball player and power-hitting outfielder/first baseman who played college baseball at Boston College before reaching Major League Baseball.
  • B. Tom Shaw
    Tom Shaw is a central character in Louisa May Alcott’s novel "An Old-Fashioned Girl," portrayed as a kind but initially worldly young man whose growth and changing values mirror the story’s moral themes.
  • C. Bryan Shaw
    Bryan Shaw is an American Major League Baseball relief pitcher known for his durability and heavy workload out of the bullpen, particularly during his tenure with the Cleveland Indians.
  • D. Greg Shaw
    Greg Shaw is a writer and communications professional best known for co-authoring Satya Nadella’s leadership and transformation book "Hit Refresh."
  • E. Gary Shaw
    Gary Shaw is a British cinematographer best known for his visually distinctive work on the science fiction film "Moon."
  • 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: Mark Shaw
Triple: [Pat Suzuki, spouse, Mark Shaw]
Generated description
Mark Shaw is best known as the husband of American singer and actress Pat Suzuki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Shaw
Target entity description: Mark Shaw is best known as the husband of American singer and actress Pat Suzuki.
  • A. Chris Shaw
    Chris Shaw is an American professional baseball player and power-hitting outfielder/first baseman who played college baseball at Boston College before reaching Major League Baseball.
  • B. Tom Shaw
    Tom Shaw is a central character in Louisa May Alcott’s novel "An Old-Fashioned Girl," portrayed as a kind but initially worldly young man whose growth and changing values mirror the story’s moral themes.
  • C. Bryan Shaw
    Bryan Shaw is an American Major League Baseball relief pitcher known for his durability and heavy workload out of the bullpen, particularly during his tenure with the Cleveland Indians.
  • D. Greg Shaw
    Greg Shaw is a writer and communications professional best known for co-authoring Satya Nadella’s leadership and transformation book "Hit Refresh."
  • E. Gary Shaw
    Gary Shaw is a British cinematographer best known for his visually distinctive work on the science fiction film "Moon."
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72879e48190ac01d0a2023b098c completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7b9e4888190822501d439df142a completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c83e31d4819094209406fc99456a completed May 3, 2026, 10:12 p.m.
Created at: April 9, 2026, 10:16 p.m.