Triple

T21862855
Position Surface form Disambiguated ID Type / Status
Subject Adam Carolla E539810 entity
Predicate wrote P2831 FINISHED
Object President Me
"President Me" is a comedic book by Adam Carolla in which he lays out his satirical vision and policy ideas for how he would run the United States as president.
 E1504567 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: President Me | Statement: [Adam Carolla, wrote, President Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: President Me
Context triple: [Adam Carolla, wrote, President Me]
  • A. My President
    "My President" is a politically charged hip-hop song by rapper Jeezy, featuring Nas, that became widely known as an anthem celebrating Barack Obama’s 2008 presidential election.
  • B. Mr President
    "Mr President" is the formal honorific used to address the presiding officer of the South Australian Legislative Council.
  • C. Mr President
    Mr President is the formal style of address used for the head of state of Poland.
  • D. Le Président
    Le Président is the nickname of Laurent Blanc, the distinguished former French football defender and manager renowned for his leadership and elegance on the field.
  • E. Le Président
    Le Président is a 1961 French political drama film starring Jean Gabin as an aging former prime minister confronting corruption and his own legacy.
  • 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: President Me
Triple: [Adam Carolla, wrote, President Me]
Generated description
"President Me" is a comedic book by Adam Carolla in which he lays out his satirical vision and policy ideas for how he would run the United States as president.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: President Me
Target entity description: "President Me" is a comedic book by Adam Carolla in which he lays out his satirical vision and policy ideas for how he would run the United States as president.
  • A. My President
    "My President" is a politically charged hip-hop song by rapper Jeezy, featuring Nas, that became widely known as an anthem celebrating Barack Obama’s 2008 presidential election.
  • B. Mr President
    "Mr President" is the formal honorific used to address the presiding officer of the South Australian Legislative Council.
  • C. Mr President
    Mr President is the formal style of address used for the head of state of Poland.
  • D. Le Président
    Le Président is a 1961 French political drama film starring Jean Gabin as an aging former prime minister confronting corruption and his own legacy.
  • E. Le Président
    Le Président is the nickname of Laurent Blanc, the distinguished former French football defender and manager renowned for his leadership and elegance on the field.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63beb00819092b8ec3a8ef55a39 completed April 28, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bddbf108190abf10c370006cdee completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4c9a02bc8190b285694c2710b825 completed May 17, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4d5d1b448190ba4387b0a3cc4285 completed May 17, 2026, 11:21 p.m.
Created at: April 16, 2026, 6:56 p.m.