Triple

T2259903
Position Surface form Disambiguated ID Type / Status
Subject Jonny Moseley E50012 entity
Predicate familyName P18 FINISHED
Object Moseley
Moseley is a surname most notably associated with Jonny Moseley, the American Olympic gold medal–winning freestyle skier.
E249169 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: Moseley | Statement: [Jonny Moseley, familyName, Moseley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moseley
Context triple: [Jonny Moseley, familyName, Moseley]
  • A. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • B. Rutherford
    Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
  • C. Rutherford
    Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Latimer
    Latimer is a village in Buckinghamshire, England, known for its historic country houses and picturesque Chilterns countryside setting.
  • 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: Moseley
Triple: [Jonny Moseley, familyName, Moseley]
Generated description
Moseley is a surname most notably associated with Jonny Moseley, the American Olympic gold medal–winning freestyle skier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moseley
Target entity description: Moseley is a surname most notably associated with Jonny Moseley, the American Olympic gold medal–winning freestyle skier.
  • A. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • B. Rutherford
    Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
  • C. Rutherford
    Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Latimer
    Latimer is a village in Buckinghamshire, England, known for its historic country houses and picturesque Chilterns countryside setting.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc15be1288190a55c12674f4a5e03 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72a2b92c8190a7d4ff441f1cb1ce completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae732a7cf08190b119ca7809350269 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.