Triple

T16622774
Position Surface form Disambiguated ID Type / Status
Subject Keiynan Lonsdale E403872 entity
Predicate characterPortrayed P1507 FINISHED
Object Bram Greenfeld
Bram Greenfeld is a fictional high school student and love interest in the romantic comedy film "Love, Simon."
E1230872 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: Bram Greenfeld | Statement: [Keiynan Lonsdale, characterPortrayed, Bram Greenfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bram Greenfeld
Context triple: [Keiynan Lonsdale, characterPortrayed, Bram Greenfeld]
  • A. Robbie Greenberg
    Robbie Greenberg is an American cinematographer known for his work on feature films and television, including the family adventure movie "Free Willy."
  • B. Jeffrey Greenstein
    Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
  • C. Kenny Greenberg
    Kenny Greenberg is an American guitarist and record producer known for his extensive work in country and rock music with numerous high-profile artists.
  • D. Sam Greisman
    Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
  • E. Bryan Greenberg
    Bryan Greenberg is an American actor and singer best known for his roles in television series like "One Tree Hill" and "How to Make It in America," as well as various romantic comedies.
  • 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: Bram Greenfeld
Triple: [Keiynan Lonsdale, characterPortrayed, Bram Greenfeld]
Generated description
Bram Greenfeld is a fictional high school student and love interest in the romantic comedy film "Love, Simon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bram Greenfeld
Target entity description: Bram Greenfeld is a fictional high school student and love interest in the romantic comedy film "Love, Simon."
  • A. Robbie Greenberg
    Robbie Greenberg is an American cinematographer known for his work on feature films and television, including the family adventure movie "Free Willy."
  • B. Jeffrey Greenstein
    Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
  • C. Kenny Greenberg
    Kenny Greenberg is an American guitarist and record producer known for his extensive work in country and rock music with numerous high-profile artists.
  • D. Sam Greisman
    Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
  • E. Bryan Greenberg
    Bryan Greenberg is an American actor and singer best known for his roles in television series like "One Tree Hill" and "How to Make It in America," as well as various romantic comedies.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754f4f508190a5b4b8511623fcd4 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2d802881909abd846cc54f04fc completed May 10, 2026, 2:58 p.m.
NEDg Description generation batch_6a009e5990ac81909d2a990f8101e4bc completed May 10, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a009ef7d13081908ea758cd2cc11995 completed May 10, 2026, 3:06 p.m.
Created at: April 10, 2026, 5:17 a.m.