Triple

T9131403
Position Surface form Disambiguated ID Type / Status
Subject Lennie James E219094 entity
Predicate portrayed P1668 FINISHED
Object Joe Brown
Joe Brown is a fictional character played by British actor Lennie James, known for his intense and emotionally complex performances.
 E784025 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: Joe Brown | Statement: [Lennie James, portrayed, Joe Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joe Brown
Context triple: [Lennie James, portrayed, Joe Brown]
  • A. Joe Brown
    Joe Brown was a renowned British mountaineer celebrated for pioneering ascents in the mid-20th century and for helping usher in the era of modern rock climbing.
  • B. Harry Brown
    Harry Brown was an American screenwriter and novelist best known for his work on war-themed films and literature in the mid-20th century.
  • C. Mr. Brown
    Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
  • D. Mr. Brown
    Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • E. Mr. Brown
    Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
  • 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: Joe Brown
Triple: [Lennie James, portrayed, Joe Brown]
Generated description
Joe Brown is a fictional character played by British actor Lennie James, known for his intense and emotionally complex performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joe Brown
Target entity description: Joe Brown is a fictional character played by British actor Lennie James, known for his intense and emotionally complex performances.
  • A. Joe Brown
    Joe Brown was a renowned British mountaineer celebrated for pioneering ascents in the mid-20th century and for helping usher in the era of modern rock climbing.
  • B. Harry Brown
    Harry Brown was an American screenwriter and novelist best known for his work on war-themed films and literature in the mid-20th century.
  • C. Mr. Brown
    Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
  • D. Mr. Brown
    Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • E. Mr. Brown
    Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf328e8819098be6d42c04a8944 completed April 4, 2026, 12:31 a.m.
NEDg Description generation batch_69d05cfb7058819080d80b7f28125199 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05d91ad4c8190a45db7484b9f058a completed April 4, 2026, 12:38 a.m.
Created at: March 30, 2026, 7:18 p.m.