Triple

T2763043
Position Surface form Disambiguated ID Type / Status
Subject Sylvia M. Burwell E61268 entity
Predicate succeededBy P78 FINISHED
Object Tom Price
Tom Price is an American physician and Republican politician who served as the U.S. Secretary of Health and Human Services under President Donald Trump.
E296612 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: Tom Price | Statement: [Sylvia M. Burwell, succeededBy, Tom Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Price
Context triple: [Sylvia M. Burwell, succeededBy, Tom Price]
  • A. Tom Price
    Tom Price is a remote mining town in Western Australia’s Pilbara region, known primarily for its large iron ore operations and surrounding rugged outback landscapes.
  • B. Michael S. Turner
    Michael S. Turner is an American cosmologist and astrophysicist known for pioneering work on dark energy, inflation, and the early universe.
  • C. James Whitaker
    James Whitaker is a film cinematographer known for his work on feature films such as the comedy-drama "Troop Zero."
  • D. Jeff Zients
    Jeff Zients is an American businessman and political advisor who serves as the White House Chief of Staff under President Joe Biden.
  • E. Daniel Kurtz-Phelan
    Daniel Kurtz-Phelan is an American foreign policy expert, author, and editor who serves as editor-in-chief of the influential journal Foreign Affairs.
  • 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: Tom Price
Triple: [Sylvia M. Burwell, succeededBy, Tom Price]
Generated description
Tom Price is an American physician and Republican politician who served as the U.S. Secretary of Health and Human Services under President Donald Trump.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Price
Target entity description: Tom Price is an American physician and Republican politician who served as the U.S. Secretary of Health and Human Services under President Donald Trump.
  • A. Tom Price
    Tom Price is a remote mining town in Western Australia’s Pilbara region, known primarily for its large iron ore operations and surrounding rugged outback landscapes.
  • B. Michael S. Turner
    Michael S. Turner is an American cosmologist and astrophysicist known for pioneering work on dark energy, inflation, and the early universe.
  • C. James Whitaker
    James Whitaker is a film cinematographer known for his work on feature films such as the comedy-drama "Troop Zero."
  • D. Jeff Zients
    Jeff Zients is an American businessman and political advisor who serves as the White House Chief of Staff under President Joe Biden.
  • E. Daniel Kurtz-Phelan
    Daniel Kurtz-Phelan is an American foreign policy expert, author, and editor who serves as editor-in-chief of the influential journal Foreign Affairs.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd5291d88190a7347af947a2a564 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04630b8819081cd8ddac1d42184 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0b6368081908e2520ac6680a409 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc145e61881908c0eeae455b02a78 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.