Triple

T17067995
Position Surface form Disambiguated ID Type / Status
Subject The President Show E414136 entity
Predicate executiveProducer P7225 FINISHED
Object Moriah Rose
Moriah Rose is a television producer best known for her executive production work on the political satire series "The President Show."
E1250159 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: Moriah Rose | Statement: [The President Show, executiveProducer, Moriah Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moriah Rose
Context triple: [The President Show, executiveProducer, Moriah Rose]
  • A. Morgan Hart
    Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
  • B. Shiva Rose
    Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
  • C. Lyla
    Lyla is a feminine given name commonly used in English-speaking countries, often associated with variations like Lila or Lilah.
  • D. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • E. Mirrah Foulkes
    Mirrah Foulkes is an Australian actress, writer, and director known for her work in film and television, including her feature directorial debut "Judy & Punch."
  • 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: Moriah Rose
Triple: [The President Show, executiveProducer, Moriah Rose]
Generated description
Moriah Rose is a television producer best known for her executive production work on the political satire series "The President Show."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moriah Rose
Target entity description: Moriah Rose is a television producer best known for her executive production work on the political satire series "The President Show."
  • A. Morgan Hart
    Morgan Hart is an American actress best known for her work in television and for being married to actor Don Most.
  • B. Shiva Rose
    Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
  • C. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • D. Lyla
    Lyla is a feminine given name commonly used in English-speaking countries, often associated with variations like Lila or Lilah.
  • E. Mirrah Foulkes
    Mirrah Foulkes is an Australian actress, writer, and director known for her work in film and television, including her feature directorial debut "Judy & Punch."
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbeb2a48190a733a4cc829c16de completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eda04d08190b450fbfc6ccb9054 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a01306334088190b6199b9bdd728c3c completed May 11, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a01343b21508190bd8dc59765ec7f78 completed May 11, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:34 a.m.