Triple

T2830435
Position Surface form Disambiguated ID Type / Status
Subject Rio E62222 entity
Predicate writer P1360 FINISHED
Object Sam Harper
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
E302267 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: Sam Harper | Statement: [Rio, writer, Sam Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Harper
Context triple: [Rio, writer, Sam Harper]
  • A. Joe Harper
    Joe Harper is a minor character in Mark Twain's classic novel "The Adventures of Tom Sawyer," known as one of Tom's close friends and fellow mischief-makers in the fictional town of St. Petersburg.
  • B. Kai Dugan
    Kai Dugan is the son of American actress Jennifer Connelly, known primarily for his connection to his famous mother.
  • C. Alex Vause
    Alex Vause is a central character in the television series "Orange Is the New Black," known as a sharp-witted, morally ambiguous drug smuggler and the on-and-off love interest of Piper Chapman.
  • D. Alex Convery
    Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
  • E. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • 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: Sam Harper
Triple: [Rio, writer, Sam Harper]
Generated description
Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sam Harper
Target entity description: Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
  • A. Joe Harper
    Joe Harper is a minor character in Mark Twain's classic novel "The Adventures of Tom Sawyer," known as one of Tom's close friends and fellow mischief-makers in the fictional town of St. Petersburg.
  • B. Kai Dugan
    Kai Dugan is the son of American actress Jennifer Connelly, known primarily for his connection to his famous mother.
  • C. Alex Vause
    Alex Vause is a central character in the television series "Orange Is the New Black," known as a sharp-witted, morally ambiguous drug smuggler and the on-and-off love interest of Piper Chapman.
  • D. Alex Convery
    Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
  • E. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebd5a2c81908f0e30a0ae0eb8df completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb771d48190a1467a6e58f756ad completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afd21bf66481909d0416cf591fc2cf completed March 10, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69afd28839a881909c758e2ea202242a completed March 10, 2026, 8:12 a.m.
Created at: March 6, 2026, 10:01 p.m.