Triple

T10343090
Position Surface form Disambiguated ID Type / Status
Subject Malick Bowens E243673 entity
Predicate name P16 FINISHED
Object Malick Bowens
Malick Bowens was a Senegalese-born actor best known for his supporting roles in international films such as "Out of Africa."
 E243673 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: Malick Bowens | Statement: [Malick Bowens, name, Malick Bowens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malick Bowens
Context triple: [Malick Bowens, name, Malick Bowens]
  • A. Malick Bowens
    Malick Bowens was a Kenyan-born actor best known for his supporting role in the Academy Award–winning film "Out of Africa."
  • B. Michele Bullock
    Michele Bullock is an Australian economist and central banker who serves as the Governor of the Reserve Bank of Australia, overseeing the country’s monetary policy.
  • C. Antonio Dixon
    Antonio Dixon is an American record producer and songwriter known for his work in contemporary R&B and pop music with prominent artists.
  • D. Malcolm Brown
    Malcolm Brown is an American football running back known for his career in the NFL, including playing for the St. Louis/Los Angeles Rams and Miami Dolphins.
  • E. Malcolm Brown
    Malcolm Brown was an American film art director known for his work on classic Hollywood productions, including the World War II drama "Thirty Seconds Over Tokyo."
  • 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: Malick Bowens
Triple: [Malick Bowens, name, Malick Bowens]
Generated description
Malick Bowens was a Senegalese-born actor best known for his supporting roles in international films such as "Out of Africa."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malick Bowens
Target entity description: Malick Bowens was a Senegalese-born actor best known for his supporting roles in international films such as "Out of Africa."
  • A. Malick Bowens chosen
    Malick Bowens was a Kenyan-born actor best known for his supporting role in the Academy Award–winning film "Out of Africa."
  • B. Michele Bullock
    Michele Bullock is an Australian economist and central banker who serves as the Governor of the Reserve Bank of Australia, overseeing the country’s monetary policy.
  • C. Antonio Dixon
    Antonio Dixon is an American record producer and songwriter known for his work in contemporary R&B and pop music with prominent artists.
  • D. Malcolm Brown
    Malcolm Brown is an American football running back known for his career in the NFL, including playing for the St. Louis/Los Angeles Rams and Miami Dolphins.
  • E. Malcolm Brown
    Malcolm Brown was an American film art director known for his work on classic Hollywood productions, including the World War II drama "Thirty Seconds Over Tokyo."
  • F. None of above.

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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e5867188190913cc74bfb87a6b7 completed April 10, 2026, 4:36 a.m.
NEDg Description generation batch_69d8837e70508190b03e8983b2617eac completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889cc40648190a1d80b955e676ea5 completed April 10, 2026, 5:25 a.m.
Created at: April 6, 2026, 11:55 a.m.