Triple

T14464447
Position Surface form Disambiguated ID Type / Status
Subject World's Greatest Dad E358669 entity
Predicate featuresCharacter P626 FINISHED
Object Andrew
Andrew is a central character portrayed as an exceptionally devoted and loving father in the film "World's Greatest Dad."
E1101189 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: Andrew | Statement: [World's Greatest Dad, featuresCharacter, Andrew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew
Context triple: [World's Greatest Dad, featuresCharacter, Andrew]
  • A. John
    John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
  • B. John
    John Brabourne was a British film and television producer and peer, known for producing works such as the 1979 adaptation of "Murder on the Orient Express."
  • C. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • D. John
    John is the given name of John Boyle O'Reilly, a 19th-century Irish-born poet, journalist, and civil rights activist who became influential in the United States.
  • E. John
    John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
  • 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: Andrew
Triple: [World's Greatest Dad, featuresCharacter, Andrew]
Generated description
Andrew is a central character portrayed as an exceptionally devoted and loving father in the film "World's Greatest Dad."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrew
Target entity description: Andrew is a central character portrayed as an exceptionally devoted and loving father in the film "World's Greatest Dad."
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Andrew
    Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
  • C. Andrew
    Andrew is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s broadcast news staff.
  • D. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • E. Alan
    The Alans were an ancient nomadic Iranian-speaking people of the Eurasian steppes, known for their skilled horsemanship and significant role in the migrations that shaped late antiquity Europe.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91ad67bc81908ecdaa7262f6dc55 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64973dc08190ab893c95ea3f066c completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd67b1ed2081908d3de6514078be49 completed May 8, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69fd682f28948190adc037c18c7deb93 completed May 8, 2026, 4:35 a.m.
Created at: April 10, 2026, 1:19 a.m.