Triple

T7052263
Position Surface form Disambiguated ID Type / Status
Subject Thomas Hughes E163993 entity
Predicate hasChild P369 FINISHED
Object Maurice Hughes
Maurice Hughes is known primarily as the son of English novelist and social reformer Thomas Hughes.
 E641479 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: Maurice Hughes | Statement: [Thomas Hughes, hasChild, Maurice Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maurice Hughes
Context triple: [Thomas Hughes, hasChild, Maurice Hughes]
  • A. Francis Hughes
    Francis Hughes was a Provisional Irish Republican Army volunteer from Northern Ireland who became widely known for dying on hunger strike in the Maze Prison in 1981.
  • B. Fletcher Moules
    Fletcher Moules is an Australian animation director best known for his work on the animated special "Entergalactic" and various high-profile animated projects.
  • C. Herbert Jenkins
    Herbert Jenkins was a British publishing company best known for issuing popular fiction, including many works by P. G. Wodehouse.
  • D. 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*.
  • E. Victor Maddern
    Victor Maddern was a British character actor known for his prolific film and television work from the 1950s onward, often portraying tough or military types in comedies and dramas.
  • 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: Maurice Hughes
Triple: [Thomas Hughes, hasChild, Maurice Hughes]
Generated description
Maurice Hughes is known primarily as the son of English novelist and social reformer Thomas Hughes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maurice Hughes
Target entity description: Maurice Hughes is known primarily as the son of English novelist and social reformer Thomas Hughes.
  • A. Francis Hughes
    Francis Hughes was a Provisional Irish Republican Army volunteer from Northern Ireland who became widely known for dying on hunger strike in the Maze Prison in 1981.
  • B. Fletcher Moules
    Fletcher Moules is an Australian animation director best known for his work on the animated special "Entergalactic" and various high-profile animated projects.
  • C. Herbert Jenkins
    Herbert Jenkins was a British publishing company best known for issuing popular fiction, including many works by P. G. Wodehouse.
  • D. 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*.
  • E. Victor Maddern
    Victor Maddern was a British character actor known for his prolific film and television work from the 1950s onward, often portraying tough or military types in comedies and dramas.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2515bb48190ac0efed0dd4252ad completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c857ca08190a964861cb7aff86a completed March 28, 2026, 9:16 a.m.
NEDg Description generation batch_69c79d16d3408190a36ab53d5d202e15 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dc7d7d8819097e423ef70b03040 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:37 p.m.