Triple

T4551680
Position Surface form Disambiguated ID Type / Status
Subject Youngsville E110177 entity
Predicate namedAfter P63 FINISHED
Object John “Jack” Young
John “Jack” Young was the namesake and likely an early settler or prominent local figure after whom the town of Youngsville was named.
 E451902 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: John “Jack” Young | Statement: [Youngsville, namedAfter, John “Jack” Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John “Jack” Young
Context triple: [Youngsville, namedAfter, John “Jack” Young]
  • A. Joe Young
    Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
  • B. Joe Young
    Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
  • C. David Young
    David Young is a former Nixon administration aide best known for his role in the White House Plumbers unit involved in the Watergate scandal.
  • D. Jack Youngblood
    Jack Youngblood is a legendary NFL defensive end renowned for his toughness and stellar career with the Los Angeles Rams, culminating in his induction into the Pro Football Hall of Fame.
  • E. Jack Cates
    Jack Cates is a tough, rule-bending San Francisco police detective and one of the two main protagonists in the action-comedy film "48 Hrs."
  • 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: John “Jack” Young
Triple: [Youngsville, namedAfter, John “Jack” Young]
Generated description
John “Jack” Young was the namesake and likely an early settler or prominent local figure after whom the town of Youngsville was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John “Jack” Young
Target entity description: John “Jack” Young was the namesake and likely an early settler or prominent local figure after whom the town of Youngsville was named.
  • A. Joe Young
    Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
  • B. Joe Young
    Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
  • C. David Young
    David Young is a former Nixon administration aide best known for his role in the White House Plumbers unit involved in the Watergate scandal.
  • D. Jack Youngblood
    Jack Youngblood is a legendary NFL defensive end renowned for his toughness and stellar career with the Los Angeles Rams, culminating in his induction into the Pro Football Hall of Fame.
  • E. Jack Cates
    Jack Cates is a tough, rule-bending San Francisco police detective and one of the two main protagonists in the action-comedy film "48 Hrs."
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57f7b9748190af29d02fc77b02e0 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb954393c8190b6ff6a5faa129d09 completed March 20, 2026, 9:17 p.m.
NEDg Description generation batch_69bdbe8c545881909fd921cc1736f297 completed March 20, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_69bdbf4b2a408190b476e5f898605828 completed March 20, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:05 p.m.