Triple

T11243096
Position Surface form Disambiguated ID Type / Status
Subject From Hand to Mouth E266123 entity
Predicate hasCastMember P2308 FINISHED
Object Harry Todd
Harry Todd was an early 20th-century American character actor known for his numerous supporting roles in silent and early sound films.
E913993 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: Harry Todd | Statement: [From Hand to Mouth, hasCastMember, Harry Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Todd
Context triple: [From Hand to Mouth, hasCastMember, Harry Todd]
  • A. Harry Ratchford
    Harry Ratchford is an American screenwriter and frequent Kevin Hart collaborator known for co-writing comedy films such as "Night School."
  • B. Harry Dromey
    Harry Dromey is a British political figure and campaigner known primarily as the son of senior Labour politicians Harriet Harman and the late Jack Dromey.
  • C. Harry Compton
    Harry Compton is a fictional character from the 1940 American film "Boom Town," which centers on the lives and rivalries of wildcat oil drillers.
  • D. Harry Stafford
    Harry Stafford was a composer known for creating the musical score for Alfred Hitchcock’s 1929 film "Blackmail," one of the earliest British sound thrillers.
  • E. Harry Tyler
    Harry Tyler was a British character actor known for his numerous supporting roles in mid-20th-century films and television.
  • 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: Harry Todd
Triple: [From Hand to Mouth, hasCastMember, Harry Todd]
Generated description
Harry Todd was an early 20th-century American character actor known for his numerous supporting roles in silent and early sound films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry Todd
Target entity description: Harry Todd was an early 20th-century American character actor known for his numerous supporting roles in silent and early sound films.
  • A. Harry Ratchford
    Harry Ratchford is an American screenwriter and frequent Kevin Hart collaborator known for co-writing comedy films such as "Night School."
  • B. Harry Dromey
    Harry Dromey is a British political figure and campaigner known primarily as the son of senior Labour politicians Harriet Harman and the late Jack Dromey.
  • C. Harry Compton
    Harry Compton is a fictional character from the 1940 American film "Boom Town," which centers on the lives and rivalries of wildcat oil drillers.
  • D. Harry Stafford
    Harry Stafford was a composer known for creating the musical score for Alfred Hitchcock’s 1929 film "Blackmail," one of the earliest British sound thrillers.
  • E. Harry Tyler
    Harry Tyler was a British character actor known for his numerous supporting roles in mid-20th-century films and television.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc69402c8190be8785f892a41c7b completed April 19, 2026, 12:36 p.m.
NEDg Description generation batch_69e4d9e87508819080932fac06fb754d completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4dda28b0081909245b65faae3533b completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:30 p.m.