Triple

T9722423
Position Surface form Disambiguated ID Type / Status
Subject Arlene Dahl E235508 entity
Predicate spouse P13 FINISHED
Object Marc Rosen
Marc Rosen is an American businessman and talent agent best known as the younger husband of classic Hollywood actress Arlene Dahl.
E819435 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: Marc Rosen | Statement: [Arlene Dahl, spouse, Marc Rosen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Rosen
Context triple: [Arlene Dahl, spouse, Marc Rosen]
  • A. Mark Rosner
    Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
  • B. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • C. Jason Rubin
    Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
  • D. Jason Kliot
    Jason Kliot is an American film producer known for his work on independent and documentary films, including the acclaimed Enron exposé "Enron: The Smartest Guys in the Room."
  • E. Steve Rosen
    Steve Rosen is a composer best known for his work on the music for the television series "Oz."
  • 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: Marc Rosen
Triple: [Arlene Dahl, spouse, Marc Rosen]
Generated description
Marc Rosen is an American businessman and talent agent best known as the younger husband of classic Hollywood actress Arlene Dahl.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marc Rosen
Target entity description: Marc Rosen is an American businessman and talent agent best known as the younger husband of classic Hollywood actress Arlene Dahl.
  • A. Mark Rosner
    Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
  • B. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • C. Jason Rubin
    Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
  • D. Jason Kliot
    Jason Kliot is an American film producer known for his work on independent and documentary films, including the acclaimed Enron exposé "Enron: The Smartest Guys in the Room."
  • E. Steve Rosen
    Steve Rosen is a composer best known for his work on the music for the television series "Oz."
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e75abd48190a6e6679ec51496e8 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc45bfc81909b86d10598d9bd39 completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1bd42e3888190b13970710a9620d7 completed April 5, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69d1bdd5ec94819083edd1cb2c9598a0 completed April 5, 2026, 1:41 a.m.
Created at: March 30, 2026, 8:20 p.m.