Triple

T8857525
Position Surface form Disambiguated ID Type / Status
Subject Suzy Amis Cameron E210795 entity
Predicate givenName P17 FINISHED
Object Susan
Susan is the birth name of Suzy Amis Cameron, an American actress-turned-environmental advocate and author.
 E762637 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 | Statement: [Suzy Amis Cameron, givenName, Susan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan
Context triple: [Suzy Amis Cameron, givenName, Susan]
  • A. Susan
    Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
  • B. Susan
    Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
  • C. Susan
    Susan is the given name of American painter and photographer Susan Macdowell Eakins, known for her portraits and still lifes.
  • D. Susan
    Susan is the given name of American actress ZaSu Pitts, a prominent comedic and dramatic film star of the silent and early sound eras.
  • E. Susan
    Susan is one of the central child protagonists in Alan Garner’s fantasy novel "The Weirdstone of Brisingamen," who becomes embroiled in a magical struggle in rural Cheshire.
  • 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
Triple: [Suzy Amis Cameron, givenName, Susan]
Generated description
Susan is the birth name of Suzy Amis Cameron, an American actress-turned-environmental advocate and author.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan
Target entity description: Susan is the birth name of Suzy Amis Cameron, an American actress-turned-environmental advocate and author.
  • A. Susan
    Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
  • B. Susan
    Susan is the given name of the American writer, filmmaker, and political activist Susan Sontag, renowned for her influential essays on culture and aesthetics.
  • C. Susan
    Susan is the given name of Susan B. Anthony, a leading American social reformer and key figure in the women’s suffrage movement.
  • D. Susan
    Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
  • E. Susan
    Susan is the given name of American actress ZaSu Pitts, a prominent comedic and dramatic film star of the silent and early sound eras.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e3b62c8190bf779e7e1db767f6 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0a8c0a48190b362685682e13460 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa2658aac81909279cddab88a9fe6 completed April 3, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_69cfa2f128d08190bef5011e03d64ef6 completed April 3, 2026, 11:22 a.m.
Created at: March 30, 2026, 6:50 p.m.