Triple

T2007522
Position Surface form Disambiguated ID Type / Status
Subject Top Hat E43618 entity
Predicate starring P1507 FINISHED
Object Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
E224391 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: Eric Blore | Statement: [Top Hat, starring, Eric Blore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Blore
Context triple: [Top Hat, starring, Eric Blore]
  • A. Jon Cornish
    Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
  • B. Ali Bell
    Ali Bell is a film producer known for her work on major Hollywood projects, including the sports drama "Draft Day."
  • C. Sam Mills
    Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
  • D. Christopher Blake
    Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
  • E. Andrew Lesnie
    Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
  • 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: Eric Blore
Triple: [Top Hat, starring, Eric Blore]
Generated description
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eric Blore
Target entity description: Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
  • A. Jon Cornish
    Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
  • B. Ali Bell
    Ali Bell is a film producer known for her work on major Hollywood projects, including the sports drama "Draft Day."
  • C. Sam Mills
    Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
  • D. Christopher Blake
    Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
  • E. Andrew Lesnie
    Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8999e108190a07daa01452a5dab completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae12d708190bcfe91e3ab53f04e completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b63b85c819096fc8ad12ace4d22 completed March 8, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69ae0bc55fcc8190bf117ef1328b8a76 completed March 8, 2026, 11:52 p.m.
Created at: March 4, 2026, 7:37 p.m.