Triple

T3759933
Position Surface form Disambiguated ID Type / Status
Subject Dr. Doug Ross E82135 entity
Predicate hasColleague P398 FINISHED
Object Susan Lewis
Susan Lewis is a fictional emergency physician and central character on the television series "ER," known for her dedication, compassion, and complex personal storylines.
E517213 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: Susan Lewis | Statement: [Dr. Doug Ross, hasColleague, Susan Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Lewis
Context triple: [Dr. Doug Ross, hasColleague, Susan Lewis]
  • A. Karen Lewis
    Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
  • B. Vicki Lewis
    Vicki Lewis is an American actress and singer best known for her comedic television roles and voice work in animated films.
  • C. Susan Wells
    Susan Wells is a fictional character in the film "Elf," known as the long-lost biological mother of Buddy the Elf.
  • D. Susan Harris
    Susan Harris is an American television writer and producer best known for creating the acclaimed sitcom "The Golden Girls."
  • E. Grace Nelson
    Grace Nelson is an American political figure and philanthropist best known as the wife of former U.S. Senator and NASA Administrator Bill Nelson.
  • 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: Susan Lewis
Triple: [Dr. Doug Ross, hasColleague, Susan Lewis]
Generated description
Susan Lewis is a fictional emergency physician and central character on the television series "ER," known for her dedication, compassion, and complex personal storylines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Lewis
Target entity description: Susan Lewis is a fictional emergency physician and central character on the television series "ER," known for her dedication, compassion, and complex personal storylines.
  • A. Karen Lewis
    Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
  • B. Vicki Lewis
    Vicki Lewis is an American actress and singer best known for her comedic television roles and voice work in animated films.
  • C. Susan Wells
    Susan Wells is a fictional character in the film "Elf," known as the long-lost biological mother of Buddy the Elf.
  • D. Susan Harris
    Susan Harris is an American television writer and producer best known for creating the acclaimed sitcom "The Golden Girls."
  • E. Grace Nelson
    Grace Nelson is an American political figure and philanthropist best known as the wife of former U.S. Senator and NASA Administrator Bill Nelson.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf32f31ecc81909cb29b762481b08e completed March 22, 2026, 12:08 a.m.
NEDg Description generation batch_69bf33e3b9ac819091cb000a98a505cd completed March 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf349a746481909a8ba2a854e29449 completed March 22, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:35 p.m.