Triple

T2323238
Position Surface form Disambiguated ID Type / Status
Subject Waylon Jennings E48228 entity
Predicate familyName P18 FINISHED
Object Jennings
Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
 E256723 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: Jennings | Statement: [Waylon Jennings, familyName, Jennings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jennings
Context triple: [Waylon Jennings, familyName, Jennings]
  • A. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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: Jennings
Triple: [Waylon Jennings, familyName, Jennings]
Generated description
Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jennings
Target entity description: Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
  • A. Winfield
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Mauldin
    Mauldin is a city in South Carolina, United States, known as a suburban community within the Greenville metropolitan area.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc645bac081908c0b161d0ca99aaf completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896b357c8190a6cdf99d5292037e completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8e8263a08190a0950dbb1336df70 completed March 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae8f9fe79c819080062587aed27379 completed March 9, 2026, 9:15 a.m.
Created at: March 4, 2026, 7:49 p.m.