Triple

T14939034
Position Surface form Disambiguated ID Type / Status
Subject A Family Affair E372471 entity
Predicate featuresCharacter P626 FINISHED
Object Sally Nathan
Sally Nathan is a fictional character appearing in the film "A Family Affair."
E1129022 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: Sally Nathan | Statement: [A Family Affair, featuresCharacter, Sally Nathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sally Nathan
Context triple: [A Family Affair, featuresCharacter, Sally Nathan]
  • A. Janet Langhart
    Janet Langhart is an American television journalist, author, and former model known for her work as a news correspondent and for her writings on race and civil rights.
  • B. Alice Webb
    Alice Webb is a British media executive and producer known for her leadership roles in major broadcasting organizations and involvement in high-profile documentary projects.
  • C. Wendy Graham
    Wendy Graham is the daughter of American educator, author, and businessman Stedman Graham.
  • D. Barbara Crocker
    Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
  • E. Alicia Marcus
    Alicia Marcus is a key character in the Resident Evil film series, serving as the elderly founder of the Umbrella Corporation and the original human template for the Red Queen AI.
  • 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: Sally Nathan
Triple: [A Family Affair, featuresCharacter, Sally Nathan]
Generated description
Sally Nathan is a fictional character appearing in the film "A Family Affair."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sally Nathan
Target entity description: Sally Nathan is a fictional character appearing in the film "A Family Affair."
  • A. Janet Langhart
    Janet Langhart is an American television journalist, author, and former model known for her work as a news correspondent and for her writings on race and civil rights.
  • B. Alice Webb
    Alice Webb is a British media executive and producer known for her leadership roles in major broadcasting organizations and involvement in high-profile documentary projects.
  • C. Wendy Graham
    Wendy Graham is the daughter of American educator, author, and businessman Stedman Graham.
  • D. Barbara Crocker
    Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
  • E. Alicia Marcus
    Alicia Marcus is a key character in the Resident Evil film series, serving as the elderly founder of the Umbrella Corporation and the original human template for the Red Queen AI.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64904d88190b6b4140da8e8199d completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9078508190b5cbfe84125ba209 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe83361ad08190b98523c2d171a11e completed May 9, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_69fe83f4a8b08190913d42808acf694d completed May 9, 2026, 12:46 a.m.
Created at: April 10, 2026, 2:38 a.m.