Triple

T16161371
Position Surface form Disambiguated ID Type / Status
Subject The Do-Over E392187 entity
Predicate writer P1360 FINISHED
Object Chris Pappas
Chris Pappas is a screenwriter best known for co-writing the comedy film "The Do-Over" starring Adam Sandler.
E1198126 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: Chris Pappas | Statement: [The Do-Over, writer, Chris Pappas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Pappas
Context triple: [The Do-Over, writer, Chris Pappas]
  • A. Jim Himes
    Jim Himes is a Democratic U.S. Representative known for serving Connecticut in Congress, particularly on financial and intelligence policy issues.
  • B. Angus King
    Angus King is an American politician and attorney serving as an independent U.S. Senator from Maine.
  • C. Anthony Capuano
    Anthony Capuano is an American business executive who serves as the chief executive officer of Marriott International, one of the world’s largest hotel companies.
  • D. R. Christopher Murphy
    R. Christopher Murphy is a screenwriter best known for co-writing the 2019 horror-comedy film "Ready or Not."
  • E. Ned Lamont
    Ned Lamont is an American businessman and Democratic politician serving as the governor of Connecticut.
  • 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: Chris Pappas
Triple: [The Do-Over, writer, Chris Pappas]
Generated description
Chris Pappas is a screenwriter best known for co-writing the comedy film "The Do-Over" starring Adam Sandler.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Pappas
Target entity description: Chris Pappas is a screenwriter best known for co-writing the comedy film "The Do-Over" starring Adam Sandler.
  • A. Jim Himes
    Jim Himes is a Democratic U.S. Representative known for serving Connecticut in Congress, particularly on financial and intelligence policy issues.
  • B. Angus King
    Angus King is an American politician and attorney serving as an independent U.S. Senator from Maine.
  • C. Anthony Capuano
    Anthony Capuano is an American business executive who serves as the chief executive officer of Marriott International, one of the world’s largest hotel companies.
  • D. R. Christopher Murphy
    R. Christopher Murphy is a screenwriter best known for co-writing the 2019 horror-comedy film "Ready or Not."
  • E. Ned Lamont
    Ned Lamont is an American businessman and Democratic politician serving as the governor of Connecticut.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5f0cb48190aae995d88382e055 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b33f3481909fe856b8be7d9bcd completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff86a556c819096bc008e1ca76e8c completed May 10, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fff926120081909f1042bf3a16ea10 completed May 10, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:02 a.m.