Triple

T12209596
Position Surface form Disambiguated ID Type / Status
Subject Mr. Brown E290920 entity
Predicate child P120 FINISHED
Object Jonathan Brown
Jonathan Brown is an individual known primarily as the son of Mr. Brown.
 E971834 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: Jonathan Brown | Statement: [Mr. Brown, child, Jonathan Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jonathan Brown
Context triple: [Mr. Brown, child, Jonathan Brown]
  • A. Jonathan Brown
    Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
  • B. Russ Brown
    Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
  • C. Andrew Brown
    Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
  • D. Anthony Gregory Brown
    Anthony Gregory Brown is an American politician and attorney who has served as Maryland's Attorney General and previously as the state's lieutenant governor and a U.S. Representative.
  • E. Rob Brown
    Rob Brown is an American actor best known for his film debut in "Finding Forrester" and his role as a high school basketball player in "Coach Carter."
  • 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: Jonathan Brown
Triple: [Mr. Brown, child, Jonathan Brown]
Generated description
Jonathan Brown is an individual known primarily as the son of Mr. Brown.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jonathan Brown
Target entity description: Jonathan Brown is an individual known primarily as the son of Mr. Brown.
  • A. Jonathan Brown
    Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
  • B. Russ Brown
    Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
  • C. Andrew Brown
    Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
  • D. Anthony Gregory Brown
    Anthony Gregory Brown is an American politician and attorney who has served as Maryland's Attorney General and previously as the state's lieutenant governor and a U.S. Representative.
  • E. Rob Brown
    Rob Brown is an American actor best known for his film debut in "Finding Forrester" and his role as a high school basketball player in "Coach Carter."
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9d2f0c81908352cd9f0167c6ab completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.