Triple

T7006287
Position Surface form Disambiguated ID Type / Status
Subject Hale Boggs E162463 entity
Predicate child P120 FINISHED
Object Tom Boggs
Tom Boggs is an American lawyer and lobbyist best known as the son of longtime U.S. Congressman Hale Boggs and influential Washington power broker Lindy Boggs.
 E638204 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 Boggs | Statement: [Hale Boggs, child, Tom Boggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Boggs
Context triple: [Hale Boggs, child, Tom Boggs]
  • A. Roy McGivern
    Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
  • B. Paul Satterfield
    Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
  • C. John Milledge
    John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
  • D. Bill Bolling
    Bill Bolling is an American Republican politician who served as the 39th Lieutenant Governor of Virginia from 2006 to 2014.
  • E. George Bowers
    George Bowers was an American film editor known for his work on numerous Hollywood movies, including the baseball comedy-drama "A League of Their Own."
  • 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 Boggs
Triple: [Hale Boggs, child, Tom Boggs]
Generated description
Tom Boggs is an American lawyer and lobbyist best known as the son of longtime U.S. Congressman Hale Boggs and influential Washington power broker Lindy Boggs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Boggs
Target entity description: Tom Boggs is an American lawyer and lobbyist best known as the son of longtime U.S. Congressman Hale Boggs and influential Washington power broker Lindy Boggs.
  • A. Roy McGivern
    Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
  • B. Paul Satterfield
    Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
  • C. John Milledge
    John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
  • D. Bill Bolling
    Bill Bolling is an American Republican politician who served as the 39th Lieutenant Governor of Virginia from 2006 to 2014.
  • E. George Bowers
    George Bowers was an American film editor known for his work on numerous Hollywood movies, including the baseball comedy-drama "A League of Their Own."
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc34b5a88190a793e07dd4d0018b completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7884537708190a35d6988b1fa9b15 completed March 28, 2026, 7:50 a.m.
NEDg Description generation batch_69c7894fb0448190a25c5bef8c2a5614 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c78a40bc008190ae8a57bc6f029a6c completed March 28, 2026, 7:58 a.m.
Created at: March 27, 2026, 2:33 p.m.