Triple

T13606028
Position Surface form Disambiguated ID Type / Status
Subject Equity E325063 entity
Predicate producer P490 FINISHED
Object Alicia Reiner
Alicia Reiner is an American actress and producer best known for her role as Natalie "Fig" Figueroa on the television series "Orange Is the New Black."
 E1051894 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: Alicia Reiner | Statement: [Equity, producer, Alicia Reiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alicia Reiner
Context triple: [Equity, producer, Alicia Reiner]
  • A. Rainey Reitman
    Rainey Reitman is a digital rights and civil liberties advocate known for her leadership roles in organizations defending press freedom and online privacy.
  • B. Rachel Singer
    Rachel Singer is a former Mossad agent whose past mission to capture a Nazi war criminal haunts her decades later in the thriller film "The Debt."
  • C. Irin Carmon
    Irin Carmon is a journalist and author best known for co-writing the biography "Notorious RBG" about Supreme Court Justice Ruth Bader Ginsburg.
  • D. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • E. Etti Kirshner
    Etti Kirshner is a relative of Canadian actress Mia Kirshner, known for her work in film and television.
  • 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: Alicia Reiner
Triple: [Equity, producer, Alicia Reiner]
Generated description
Alicia Reiner is an American actress and producer best known for her role as Natalie "Fig" Figueroa on the television series "Orange Is the New Black."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alicia Reiner
Target entity description: Alicia Reiner is an American actress and producer best known for her role as Natalie "Fig" Figueroa on the television series "Orange Is the New Black."
  • A. Rainey Reitman
    Rainey Reitman is a digital rights and civil liberties advocate known for her leadership roles in organizations defending press freedom and online privacy.
  • B. Rachel Singer
    Rachel Singer is a former Mossad agent whose past mission to capture a Nazi war criminal haunts her decades later in the thriller film "The Debt."
  • C. Irin Carmon
    Irin Carmon is a journalist and author best known for co-writing the biography "Notorious RBG" about Supreme Court Justice Ruth Bader Ginsburg.
  • D. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • E. Etti Kirshner
    Etti Kirshner is a relative of Canadian actress Mia Kirshner, known for her work in film and television.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f96280881908bab3af5c80f6d55 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780850ffc8190b41b3ff7ca35494f completed May 3, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69f7849416b88190a0ef9d3e26e7b129 completed May 3, 2026, 5:23 p.m.
Created at: April 9, 2026, 9:50 p.m.