Triple

T4066509
Position Surface form Disambiguated ID Type / Status
Subject The Lost World E86335 entity
Predicate castMember P1668 FINISHED
Object Lloyd Hughes
Lloyd Hughes was an American film actor of the silent and early sound era, known for his leading roles in adventure and drama films of the 1920s and 1930s.
 E417516 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: Lloyd Hughes | Statement: [The Lost World, castMember, Lloyd Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lloyd Hughes
Context triple: [The Lost World, castMember, Lloyd Hughes]
  • A. Russell Lloyd
    Russell Lloyd was a British film editor best known for his work on major mid-20th-century films, including collaborations with director John Huston.
  • B. Patrick Hughes
    Patrick Hughes is an Australian film director best known for helming action movies such as *The Expendables 3* and *The Hitman's Bodyguard*.
  • C. Lloyd Robertson
    Lloyd Robertson is a prominent Canadian television journalist and longtime national news anchor best known for his decades of work with CTV News.
  • D. Ben Durrant
    Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
  • E. Cal Henderson
    Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
  • 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: Lloyd Hughes
Triple: [The Lost World, castMember, Lloyd Hughes]
Generated description
Lloyd Hughes was an American film actor of the silent and early sound era, known for his leading roles in adventure and drama films of the 1920s and 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lloyd Hughes
Target entity description: Lloyd Hughes was an American film actor of the silent and early sound era, known for his leading roles in adventure and drama films of the 1920s and 1930s.
  • A. Russell Lloyd
    Russell Lloyd was a British film editor best known for his work on major mid-20th-century films, including collaborations with director John Huston.
  • B. Patrick Hughes
    Patrick Hughes is an Australian film director best known for helming action movies such as *The Expendables 3* and *The Hitman's Bodyguard*.
  • C. Lloyd Robertson
    Lloyd Robertson is a prominent Canadian television journalist and longtime national news anchor best known for his decades of work with CTV News.
  • D. Ben Durrant
    Ben Durrant is a musician best known as a member of the indie supergroup Gayngs.
  • E. Cal Henderson
    Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf58d9c8190936e453b0d397cb0 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f18218881908c95266c6b18ad47 completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b57fad66e08190a973186c19659ee8 completed March 14, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69b58028e7108190a6c92fc9ea300f9e completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:38 p.m.