Triple

T4143592
Position Surface form Disambiguated ID Type / Status
Subject King v. Burwell E89330 entity
Predicate plaintiff P660 FINISHED
Object David King
David King is the named lead plaintiff in the landmark U.S. Supreme Court case King v. Burwell, which challenged federal health insurance subsidies under the Affordable Care Act.
E415230 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: David King | Statement: [King v. Burwell, plaintiff, David King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David King
Context triple: [King v. Burwell, plaintiff, David King]
  • A. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • B. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • C. Jonathan King
    Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
  • D. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • E. Alan King
    Alan King was an American comedian and character actor known for his sharp observational humor and frequent film and television roles from the 1950s through the 1990s.
  • 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: David King
Triple: [King v. Burwell, plaintiff, David King]
Generated description
David King is the named lead plaintiff in the landmark U.S. Supreme Court case King v. Burwell, which challenged federal health insurance subsidies under the Affordable Care Act.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David King
Target entity description: David King is the named lead plaintiff in the landmark U.S. Supreme Court case King v. Burwell, which challenged federal health insurance subsidies under the Affordable Care Act.
  • A. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • B. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • C. Jonathan King
    Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
  • D. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • E. Alan King
    Alan King was an American comedian and character actor known for his sharp observational humor and frequent film and television roles from the 1950s through the 1990s.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025d2984819095f299327cc399d5 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576d2f1788190847d38a384abbe67 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577ef7ed08190aca5f99d6abf1271 completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b578538e908190a2c7d9d80ec5ec99 completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:43 p.m.