Triple

T5018467
Position Surface form Disambiguated ID Type / Status
Subject Jenji Kohan E112791 entity
Predicate relative P37 FINISHED
Object Alan Kohan
Alan Kohan is a member of the Kohan family, related to television writer and producer Jenji Kohan.
E493350 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: Alan Kohan | Statement: [Jenji Kohan, relative, Alan Kohan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Kohan
Context triple: [Jenji Kohan, relative, Alan Kohan]
  • A. Jonathan Klein
    Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
  • B. Rob Cohen
    Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
  • C. Aaron Kandell
    Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
  • D. Jon Cohen
    Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
  • E. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • 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: Alan Kohan
Triple: [Jenji Kohan, relative, Alan Kohan]
Generated description
Alan Kohan is a member of the Kohan family, related to television writer and producer Jenji Kohan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alan Kohan
Target entity description: Alan Kohan is a member of the Kohan family, related to television writer and producer Jenji Kohan.
  • A. Jonathan Klein
    Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
  • B. Rob Cohen
    Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
  • C. Aaron Kandell
    Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
  • D. Jon Cohen
    Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
  • E. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73415e088190802f9bb283262386 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba5b5f84819086b7af26923f0987 completed March 21, 2026, 3:33 p.m.
NEDg Description generation batch_69bebb50aef48190b625278340a8c310 completed March 21, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69bebc0b38e88190830eb74292e00e93 completed March 21, 2026, 3:40 p.m.
Created at: March 20, 2026, 1:35 p.m.