Triple

T7313665
Position Surface form Disambiguated ID Type / Status
Subject Charles Laughton E168155 entity
Predicate familyName P18 FINISHED
Object Laughton
Laughton is an English surname most famously associated with the acclaimed 20th-century actor and director Charles Laughton.
 E655592 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: Laughton | Statement: [Charles Laughton, familyName, Laughton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laughton
Context triple: [Charles Laughton, familyName, Laughton]
  • A. Farnum
    Farnum is a locality within Providence County, Rhode Island, likely a small village or neighborhood rather than an incorporated city.
  • B. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • C. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • D. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • E. Benthall
    Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
  • 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: Laughton
Triple: [Charles Laughton, familyName, Laughton]
Generated description
Laughton is an English surname most famously associated with the acclaimed 20th-century actor and director Charles Laughton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laughton
Target entity description: Laughton is an English surname most famously associated with the acclaimed 20th-century actor and director Charles Laughton.
  • A. Farnum
    Farnum is a locality within Providence County, Rhode Island, likely a small village or neighborhood rather than an incorporated city.
  • B. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • C. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • D. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • E. Benthall
    Benthall is a small village in Shropshire, England, known for its historic Benthall Hall and rural surroundings near the town of Broseley.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec02319c819096d25e3683943886 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56f4aa0819096d955e2ce298299 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e6bf79d48190a7c30e3513e12070 completed March 28, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7e78b09488190a361bdd50bd28b71 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3:02 p.m.