Triple

T1924746
Position Surface form Disambiguated ID Type / Status
Subject Lloyd Bacon E40802 entity
Predicate parent P120 FINISHED
Object Frank Bacon
Frank Bacon was an American stage and film actor and playwright best known for co-writing and starring in the hit Broadway play "Lightnin'."
 E215536 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: Frank Bacon | Statement: [Lloyd Bacon, parent, Frank Bacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frank Bacon
Context triple: [Lloyd Bacon, parent, Frank Bacon]
  • A. Robert Barker
    Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
  • B. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • C. Nicholas Bacon
    Nicholas Bacon was a prominent 16th-century English lawyer and statesman who served as Lord Keeper of the Great Seal under Queen Elizabeth I.
  • D. John Billington
    John Billington was an English settler best known as one of the Mayflower passengers at Plymouth Colony and the first person executed for murder in what became the United States.
  • E. Charles Harrison
    Charles Harrison was an American Revolutionary War officer who rose to prominence as a colonel commanding Continental artillery forces.
  • 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: Frank Bacon
Triple: [Lloyd Bacon, parent, Frank Bacon]
Generated description
Frank Bacon was an American stage and film actor and playwright best known for co-writing and starring in the hit Broadway play "Lightnin'."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frank Bacon
Target entity description: Frank Bacon was an American stage and film actor and playwright best known for co-writing and starring in the hit Broadway play "Lightnin'."
  • A. Robert Barker
    Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
  • B. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • C. Nicholas Bacon
    Nicholas Bacon was a prominent 16th-century English lawyer and statesman who served as Lord Keeper of the Great Seal under Queen Elizabeth I.
  • D. John Billington
    John Billington was an English settler best known as one of the Mayflower passengers at Plymouth Colony and the first person executed for murder in what became the United States.
  • E. Charles Harrison
    Charles Harrison was an American Revolutionary War officer who rose to prominence as a colonel commanding Continental artillery forces.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2359ca0819082b514a34c469b21 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e881748190b00f125185e91271 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf494f0288190bf77285d18fcd3d9 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf51f49488190b9b0465b4da685c1 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.