Triple

T6271362
Position Surface form Disambiguated ID Type / Status
Subject A Rage in Harlem E140541 entity
Predicate hasCastMember P2308 FINISHED
Object Badja Djola
Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
 E579211 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: Badja Djola | Statement: [A Rage in Harlem, hasCastMember, Badja Djola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badja Djola
Context triple: [A Rage in Harlem, hasCastMember, Badja Djola]
  • A. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • B. Amidou
    Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
  • C. Moussa
    Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
  • D. Djiba
    Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
  • E. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • 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: Badja Djola
Triple: [A Rage in Harlem, hasCastMember, Badja Djola]
Generated description
Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badja Djola
Target entity description: Badja Djola was an American character actor known for his intense and memorable supporting roles in films and television from the 1970s through the 1990s.
  • A. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • B. Amidou
    Amidou is a character associated with sorcery and the mystical arts, often depicted in connection with a powerful sorcerer.
  • C. Moussa
    Moussa is the protagonist of the work "Child of Fortune," around whom the story’s central events and character development revolve.
  • D. Djiba
    Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
  • E. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063bb340c8190ab81b249cefa91ca completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446629248190945f0f4f4a103bbd completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c246b507a08190ab5423c54e2b0eb5 completed March 24, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69c2471ce99c8190af2305937dfacc9c completed March 24, 2026, 8:11 a.m.
Created at: March 22, 2026, 4:25 p.m.