Triple

T16866752
Position Surface form Disambiguated ID Type / Status
Subject Jack Noseworthy E410062 entity
Predicate familyName P18 FINISHED
Object Noseworthy
Noseworthy is an English-origin surname most commonly found in Canada and the United Kingdom.
 E1237845 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: Noseworthy | Statement: [Jack Noseworthy, familyName, Noseworthy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noseworthy
Context triple: [Jack Noseworthy, familyName, Noseworthy]
  • A. Nobby’s Head
    Nobby’s Head is a prominent headland and coastal landmark located at the entrance to Newcastle Harbour in New South Wales, Australia.
  • B. Thursbitch
    Thursbitch is a novel by Alan Garner that blends myth, landscape, and time-slip elements in a haunting exploration of a remote Cheshire valley and its history.
  • C. The Book of Snobs
    The Book of Snobs is a satirical work by William Makepeace Thackeray that humorously critiques the pretensions and social climbing of 19th-century British society.
  • D. Lord Crumb
    Lord Crumb is the grotesque alien leader and primary antagonist in Peter Jackson’s splatter-comedy film "Bad Taste."
  • E. The Nitwits
    The Nitwits is a 1935 American comedy film featuring the deadpan character actor Ned Sparks alongside Bert Wheeler and Robert Woolsey in a zany mystery spoof.
  • 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: Noseworthy
Triple: [Jack Noseworthy, familyName, Noseworthy]
Generated description
Noseworthy is an English-origin surname most commonly found in Canada and the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noseworthy
Target entity description: Noseworthy is an English-origin surname most commonly found in Canada and the United Kingdom.
  • A. Nobby’s Head
    Nobby’s Head is a prominent headland and coastal landmark located at the entrance to Newcastle Harbour in New South Wales, Australia.
  • B. Thursbitch
    Thursbitch is a novel by Alan Garner that blends myth, landscape, and time-slip elements in a haunting exploration of a remote Cheshire valley and its history.
  • C. The Book of Snobs
    The Book of Snobs is a satirical work by William Makepeace Thackeray that humorously critiques the pretensions and social climbing of 19th-century British society.
  • D. Lord Crumb
    Lord Crumb is the grotesque alien leader and primary antagonist in Peter Jackson’s splatter-comedy film "Bad Taste."
  • E. The Nitwits
    The Nitwits is a 1935 American comedy film featuring the deadpan character actor Ned Sparks alongside Bert Wheeler and Robert Woolsey in a zany mystery spoof.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b5088f208190abfe937633ebe3fe completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a929b081909d3a5a680ae93a78 completed May 10, 2026, 5:38 p.m.
NEDg Description generation batch_6a00c355f4108190a4209599bf5f50da completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c413314881909e308588af09ce2a completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:24 a.m.