Triple

T12366304
Position Surface form Disambiguated ID Type / Status
Subject Amandla Stenberg E294878 entity
Predicate familyName P18 FINISHED
Object Stenberg
Stenberg is the surname of American actor and activist Amandla Stenberg, known for roles in films such as "The Hunger Games" and "The Hate U Give."
 E978610 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: Stenberg | Statement: [Amandla Stenberg, familyName, Stenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stenberg
Context triple: [Amandla Stenberg, familyName, Stenberg]
  • A. Leni
    Leni is a small municipality on the island of Salina in Italy’s Aeolian archipelago, known for its coastal scenery and traditional Mediterranean character.
  • B. Leni
    Leni is a diminutive form of the given name Leonore, commonly used as a short or affectionate version of the name.
  • C. Steffens
    Steffens is a surname most notably associated with Lincoln Steffens, an influential American muckraking journalist of the early 20th century.
  • D. Maria Stark
    Maria Stark is a wealthy philanthropist and the mother of Tony Stark (Iron Man) in the Marvel Comics universe.
  • E. Lasky
    Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
  • 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: Stenberg
Triple: [Amandla Stenberg, familyName, Stenberg]
Generated description
Stenberg is the surname of American actor and activist Amandla Stenberg, known for roles in films such as "The Hunger Games" and "The Hate U Give."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stenberg
Target entity description: Stenberg is the surname of American actor and activist Amandla Stenberg, known for roles in films such as "The Hunger Games" and "The Hate U Give."
  • A. Leni
    Leni is a diminutive form of the given name Leonore, commonly used as a short or affectionate version of the name.
  • B. Leni
    Leni is a small municipality on the island of Salina in Italy’s Aeolian archipelago, known for its coastal scenery and traditional Mediterranean character.
  • C. Steffens
    Steffens is a surname most notably associated with Lincoln Steffens, an influential American muckraking journalist of the early 20th century.
  • D. Maria Stark
    Maria Stark is a wealthy philanthropist and the mother of Tony Stark (Iron Man) in the Marvel Comics universe.
  • E. Lasky
    Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa502988190ba170dee90d9f394 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abbaaec8190b388d9dff999da8d completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c57a26081908d6903906f6e04f0 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d13237881908b7c2dca173e20cf completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:54 p.m.