Triple

T16629724
Position Surface form Disambiguated ID Type / Status
Subject Iris Carrington E404045 entity
Predicate hasRomanticPartner P9994 FINISHED
Object Grant Harrison
Grant Harrison is a fictional character from the American soap opera "Another World," known for his complex romantic entanglements and morally ambiguous behavior.
 E1230876 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: Grant Harrison | Statement: [Iris Carrington, hasRomanticPartner, Grant Harrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grant Harrison
Context triple: [Iris Carrington, hasRomanticPartner, Grant Harrison]
  • A. Blake Harrison
    Blake Harrison is a British actor best known for playing Neil Sutherland in the hit comedy series "The Inbetweeners."
  • B. Mark Harrison
    Mark Harrison is a fictional character portrayed by actor Liam Aiken.
  • C. John Harron
    John Harron was an American film actor of the silent and early sound era, known for appearing in numerous supporting roles during the 1920s and 1930s.
  • D. Kevin Hancock
    Kevin Hancock is the brother of American filmmaker John Lee Hancock, known for his work as a director and screenwriter.
  • E. Stephen Harrison
    Stephen Harrison is a film editor known for his work on classic British cinema, including the historical drama "The Private Life of Henry VIII."
  • 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: Grant Harrison
Triple: [Iris Carrington, hasRomanticPartner, Grant Harrison]
Generated description
Grant Harrison is a fictional character from the American soap opera "Another World," known for his complex romantic entanglements and morally ambiguous behavior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grant Harrison
Target entity description: Grant Harrison is a fictional character from the American soap opera "Another World," known for his complex romantic entanglements and morally ambiguous behavior.
  • A. Blake Harrison
    Blake Harrison is a British actor best known for playing Neil Sutherland in the hit comedy series "The Inbetweeners."
  • B. Mark Harrison
    Mark Harrison is a fictional character portrayed by actor Liam Aiken.
  • C. John Harron
    John Harron was an American film actor of the silent and early sound era, known for appearing in numerous supporting roles during the 1920s and 1930s.
  • D. Kevin Hancock
    Kevin Hancock is the brother of American filmmaker John Lee Hancock, known for his work as a director and screenwriter.
  • E. Stephen Harrison
    Stephen Harrison is a film editor known for his work on classic British cinema, including the historical drama "The Private Life of Henry VIII."
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e4db5081908a6085f1bc2d65b8 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2d802881909abd846cc54f04fc completed May 10, 2026, 2:58 p.m.
NEDg Description generation batch_6a009e5990ac81909d2a990f8101e4bc completed May 10, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a009ef7d13081908ea758cd2cc11995 completed May 10, 2026, 3:06 p.m.
Created at: April 10, 2026, 5:17 a.m.