Triple

T7336840
Position Surface form Disambiguated ID Type / Status
Subject Special Investigations Unit E169147 entity
Predicate member P10 FINISHED
Object David Young
David Young is an investigator associated with Ontario’s Special Investigations Unit, the civilian agency that probes serious incidents involving police.
 E663096 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: David Young | Statement: [Special Investigations Unit, member, David Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Young
Context triple: [Special Investigations Unit, member, David Young]
  • A. 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.
  • B. David Young
    David Young is an American poet, translator, and literary critic known for his acclaimed English translations of Rainer Maria Rilke and other major poets.
  • C. 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.
  • D. 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."
  • E. Howard Young
    Howard Young was a film producer best known for his work on the 1942 musical comedy "Panama Hattie."
  • 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: David Young
Triple: [Special Investigations Unit, member, David Young]
Generated description
David Young is an investigator associated with Ontario’s Special Investigations Unit, the civilian agency that probes serious incidents involving police.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Young
Target entity description: David Young is an investigator associated with Ontario’s Special Investigations Unit, the civilian agency that probes serious incidents involving police.
  • A. 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.
  • B. David Young
    David Young is an American poet, translator, and literary critic known for his acclaimed English translations of Rainer Maria Rilke and other major poets.
  • C. 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.
  • D. 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."
  • E. Howard Young
    Howard Young was a film producer best known for his work on the 1942 musical comedy "Panama Hattie."
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0c51884819098fe00dd3d5e44b2 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ebdf56481909bc6748179353906 completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c81f730ac081908c9d98643c130d6d completed March 28, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69c821071a208190958f4cb7ad903fa6 completed March 28, 2026, 6:42 p.m.
Created at: March 27, 2026, 3:04 p.m.