Triple

T1283247
Position Surface form Disambiguated ID Type / Status
Subject Debbie Reynolds E27373 entity
Predicate child P120 FINISHED
Object Carrie Fisher
Carrie Fisher was an American actress and writer best known for her iconic role as Princess Leia in the Star Wars film series.
 E146866 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: Carrie Fisher | Statement: [Debbie Reynolds, child, Carrie Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carrie Fisher
Context triple: [Debbie Reynolds, child, Carrie Fisher]
  • A. Kate Mara
    Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
  • B. Talia Shire
    Talia Shire is an American actress best known for her roles as Adrian in the Rocky film series and Connie Corleone in The Godfather trilogy.
  • C. Daryl Hannah
    Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
  • D. Nel Wright
    Nel Wright is a central character in Toni Morrison's novel "Sula," known for her complex, lifelong friendship with the title character and her struggle with identity, loyalty, and moral judgment.
  • E. Beth Riesgraf
    Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
  • 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: Carrie Fisher
Triple: [Debbie Reynolds, child, Carrie Fisher]
Generated description
Carrie Fisher was an American actress and writer best known for her iconic role as Princess Leia in the Star Wars film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carrie Fisher
Target entity description: Carrie Fisher was an American actress and writer best known for her iconic role as Princess Leia in the Star Wars film series.
  • A. Kate Mara
    Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
  • B. Talia Shire
    Talia Shire is an American actress best known for her roles as Adrian in the Rocky film series and Connie Corleone in The Godfather trilogy.
  • C. Daryl Hannah
    Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
  • D. Nel Wright
    Nel Wright is a central character in Toni Morrison's novel "Sula," known for her complex, lifelong friendship with the title character and her struggle with identity, loyalty, and moral judgment.
  • E. Beth Riesgraf
    Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fdb3ac81909bc836e2a655130c completed March 7, 2026, 10:13 p.m.
NEDg Description generation batch_69aca76c18d081908154d2a04c7a3328 completed March 7, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_69aca7d3c740819084c87134e5818455 completed March 7, 2026, 10:33 p.m.
Created at: March 1, 2026, 7:50 p.m.