Triple

T23268823
Position Surface form Disambiguated ID Type / Status
Subject The Perfect Host E588233 entity
Predicate starring P1507 FINISHED
Object Joseph Will
Joseph Will is an American actor best known for his work in film and television, including a role in the thriller-comedy "The Perfect Host."
 E1578411 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: Joseph Will | Statement: [The Perfect Host, starring, Joseph Will]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joseph Will
Context triple: [The Perfect Host, starring, Joseph Will]
  • A. John Willis
    John Willis was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • B. John Willis
    John Willis was an early settler and community leader credited with establishing the town that became Lumberton, North Carolina.
  • C. John Willis
    John Willis is a fictional character from the 1946 romantic drama film "The Locket."
  • D. John Willis
    John Willis was an American theater historian and publisher best known as the longtime editor of Theatre World and the founder of the American Theater Hall of Fame.
  • E. Gene Milford
    Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
  • 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: Joseph Will
Triple: [The Perfect Host, starring, Joseph Will]
Generated description
Joseph Will is an American actor best known for his work in film and television, including a role in the thriller-comedy "The Perfect Host."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joseph Will
Target entity description: Joseph Will is an American actor best known for his work in film and television, including a role in the thriller-comedy "The Perfect Host."
  • A. John Willis
    John Willis was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • B. John Willis
    John Willis was an early settler and community leader credited with establishing the town that became Lumberton, North Carolina.
  • C. John Willis
    John Willis is a fictional character from the 1946 romantic drama film "The Locket."
  • D. John Willis
    John Willis was an American theater historian and publisher best known as the longtime editor of Theatre World and the founder of the American Theater Hall of Fame.
  • E. Gene Milford
    Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957219188190b30bceffad1542da completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7451b08190ac86309ede7d8cd6 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c405ca9e081908adeedd69acb8ed2 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c443c4540819096f1a41d9c24a706 completed May 19, 2026, 11:06 a.m.
Created at: April 17, 2026, 4:44 p.m.