Triple

T11956605
Position Surface form Disambiguated ID Type / Status
Subject Younger E284568 entity
Predicate mainCharacter P1183 FINISHED
Object Liza Miller
Liza Miller is the 40-year-old divorced mother who pretends to be in her twenties to restart her publishing career in the TV series "Younger."
E982647 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: Liza Miller | Statement: [Younger, mainCharacter, Liza Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liza Miller
Context triple: [Younger, mainCharacter, Liza Miller]
  • A. Liza Elliott
    Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
  • B. Liza Marshall
    Liza Marshall is a British film and television producer known for her work on projects such as "Before I Go to Sleep" and "Temple."
  • C. Liza Lerner
    Liza Lerner is the daughter of American actress Nancy Olson and lyricist Alan Jay Lerner.
  • D. Liza Todd
    Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
  • E. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • 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: Liza Miller
Triple: [Younger, mainCharacter, Liza Miller]
Generated description
Liza Miller is the 40-year-old divorced mother who pretends to be in her twenties to restart her publishing career in the TV series "Younger."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Liza Miller
Target entity description: Liza Miller is the 40-year-old divorced mother who pretends to be in her twenties to restart her publishing career in the TV series "Younger."
  • A. Liza Elliott
    Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
  • B. Liza Marshall
    Liza Marshall is a British film and television producer known for her work on projects such as "Before I Go to Sleep" and "Temple."
  • C. Liza Lerner
    Liza Lerner is the daughter of American actress Nancy Olson and lyricist Alan Jay Lerner.
  • D. Liza Todd
    Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
  • E. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634515d20819094c9bc4f2c7cda8a completed May 2, 2026, 5:28 p.m.
NEDg Description generation batch_69f63674aa3c81908ba82a9d246b3b3a completed May 2, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69f63a9b32fc8190ab98492ff91d2a66 completed May 2, 2026, 5:55 p.m.
Created at: April 8, 2026, 9:45 p.m.