Triple

T9830266
Position Surface form Disambiguated ID Type / Status
Subject Detroit (2017 film) E238763 entity
Predicate starring P1507 FINISHED
Object Ben O'Toole
Ben O'Toole is an Australian actor known for his roles in films such as "Detroit" (2017) and various Australian television and stage productions.
 E823957 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: Ben O'Toole | Statement: [Detroit (2017 film), starring, Ben O'Toole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ben O'Toole
Context triple: [Detroit (2017 film), starring, Ben O'Toole]
  • A. Mark O'Toole
    Mark O'Toole is a writer best known for his work on the British sitcom "Relax."
  • B. Mark O'Toole
    Mark O'Toole is an English musician and bassist best known as a founding member of the 1980s pop band Frankie Goes to Hollywood.
  • C. Andy Loughnane
    Andy Loughnane is a sports business executive known for leading the front-office and business operations of Major League Soccer club Austin FC.
  • D. Mark O’Connor
    Mark O’Connor is a cinematographer known for his work on documentary and feature films, including the 2015 documentary "This Changes Everything."
  • E. Mark O’Connor
    Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
  • 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: Ben O'Toole
Triple: [Detroit (2017 film), starring, Ben O'Toole]
Generated description
Ben O'Toole is an Australian actor known for his roles in films such as "Detroit" (2017) and various Australian television and stage productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ben O'Toole
Target entity description: Ben O'Toole is an Australian actor known for his roles in films such as "Detroit" (2017) and various Australian television and stage productions.
  • A. Mark O'Toole
    Mark O'Toole is a writer best known for his work on the British sitcom "Relax."
  • B. Mark O'Toole
    Mark O'Toole is an English musician and bassist best known as a founding member of the 1980s pop band Frankie Goes to Hollywood.
  • C. Andy Loughnane
    Andy Loughnane is a sports business executive known for leading the front-office and business operations of Major League Soccer club Austin FC.
  • D. Mark O’Connor
    Mark O’Connor is a cinematographer known for his work on documentary and feature films, including the 2015 documentary "This Changes Everything."
  • E. Mark O’Connor
    Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3297bd88190bf8c53a4ba00e0ae completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc8ca2808190a1da0641162f12d1 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cf8c89f481908dcc9c430d9e45a2 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d01f546881909e65789ed2895825 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:32 p.m.