Triple

T19452140
Position Surface form Disambiguated ID Type / Status
Subject Tom Cullen E486636 entity
Predicate name P16 FINISHED
Object Tom Cullen
Tom Cullen is a Welsh actor known for his roles in television series such as "Downton Abbey," "Knightfall," and "The Five."
 E1031460 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 Cullen | Statement: [Tom Cullen, name, Tom Cullen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Cullen
Context triple: [Tom Cullen, name, Tom Cullen]
  • A. Tom Cullen
    Tom Cullen is a gentle, intellectually disabled yet perceptive survivor from Stephen King’s post-apocalyptic novel "The Stand," known for his childlike innocence and crucial role in the struggle between good and evil.
  • B. Tom Cullen
    Tom Cullen is a British actor known for his roles in film and television, including prominent appearances in series like "Downton Abbey" and "Knightfall."
  • C. Tom Cullen
    Tom Cullen is a co-founder of Sonos, the company known for pioneering wireless multi-room home audio systems.
  • D. John Cullen
    John Cullen is a former professional ice hockey goaltender best known for his standout collegiate career with the Boston University Terriers and subsequent play in the NHL.
  • E. John Cullen
    John Cullen is a former NHL center known for his high-scoring play in the late 1980s and early 1990s, particularly with the Pittsburgh Penguins.
  • 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 Cullen
Triple: [Tom Cullen, name, Tom Cullen]
Generated description
Tom Cullen is a Welsh actor known for his roles in television series such as "Downton Abbey," "Knightfall," and "The Five."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Cullen
Target entity description: Tom Cullen is a Welsh actor known for his roles in television series such as "Downton Abbey," "Knightfall," and "The Five."
  • A. Tom Cullen
    Tom Cullen is a co-founder of Sonos, the company known for pioneering wireless multi-room home audio systems.
  • B. Tom Cullen
    Tom Cullen is a gentle, intellectually disabled yet perceptive survivor from Stephen King’s post-apocalyptic novel "The Stand," known for his childlike innocence and crucial role in the struggle between good and evil.
  • C. Tom Cullen chosen
    Tom Cullen is a British actor known for his roles in film and television, including prominent appearances in series like "Downton Abbey" and "Knightfall."
  • D. John Cullen
    John Cullen is a former professional ice hockey goaltender best known for his standout collegiate career with the Boston University Terriers and subsequent play in the NHL.
  • E. John Cullen
    John Cullen is a former NHL center known for his high-scoring play in the late 1980s and early 1990s, particularly with the Pittsburgh Penguins.
  • F. None of above.

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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63392aab08190aab09b7c356e5b10 completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b33395081909ac7e5406843da5c completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073ba7f03481908ed5c06a46c0a029 completed May 15, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_6a073cae2df481908ed9a0ee0bc14fd5 completed May 15, 2026, 3:33 p.m.
Created at: April 10, 2026, 1:38 p.m.