Triple

T1479485
Position Surface form Disambiguated ID Type / Status
Subject Briton Hadden E30918 entity
Predicate familyName P18 FINISHED
Object Hadden
Hadden is a surname most notably associated with Briton Hadden, co-founder of Time magazine.
 E169036 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: Hadden | Statement: [Briton Hadden, familyName, Hadden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hadden
Context triple: [Briton Hadden, familyName, Hadden]
  • A. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • B. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Hale
    Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
  • E. Hale
    Hale is a surname most notably associated with American solar astronomer George Ellery Hale, a pioneer in the development of modern astrophysical observatories.
  • 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: Hadden
Triple: [Briton Hadden, familyName, Hadden]
Generated description
Hadden is a surname most notably associated with Briton Hadden, co-founder of Time magazine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hadden
Target entity description: Hadden is a surname most notably associated with Briton Hadden, co-founder of Time magazine.
  • A. Haydon
    Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
  • B. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Hale
    Hale is a surname most notably associated with American solar astronomer George Ellery Hale, a pioneer in the development of modern astrophysical observatories.
  • E. Hale
    Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6739d2481909ea8d8e075f62cf3 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15aff1288190a3e36324d975d482 completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad1639e21081908737b51e910ceae3 completed March 8, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad16a98fd08190a14f4d7d6b11f5e8 completed March 8, 2026, 6:26 a.m.
Created at: March 1, 2026, 8:11 p.m.