Triple

T3240110
Position Surface form Disambiguated ID Type / Status
Subject Enough Said E67945 entity
Predicate starring P1507 FINISHED
Object Tavi Gevinson
Tavi Gevinson is an American writer, editor, and actress who first gained prominence as a teenage fashion blogger and founder of the online magazine Rookie.
 E341074 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: Tavi Gevinson | Statement: [Enough Said, starring, Tavi Gevinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tavi Gevinson
Context triple: [Enough Said, starring, Tavi Gevinson]
  • A. Lizzie Winkler
    Lizzie Winkler is an actress known for her role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • B. Ilana Kloss
    Ilana Kloss is a former South African professional tennis player and doubles specialist who later became a prominent tennis executive and business partner in sports ventures.
  • C. Annalee Newman
    Annalee Newman was the wife of influential American abstract expressionist painter Barnett Newman and an important steward of his artistic legacy.
  • D. Annalee Whitmore
    Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
  • E. Isabel Cooley
    Isabel Cooley was an American actress known for her work in mid-20th-century film and television, often appearing in socially themed dramas.
  • 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: Tavi Gevinson
Triple: [Enough Said, starring, Tavi Gevinson]
Generated description
Tavi Gevinson is an American writer, editor, and actress who first gained prominence as a teenage fashion blogger and founder of the online magazine Rookie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tavi Gevinson
Target entity description: Tavi Gevinson is an American writer, editor, and actress who first gained prominence as a teenage fashion blogger and founder of the online magazine Rookie.
  • A. Lizzie Winkler
    Lizzie Winkler is an actress known for her role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • B. Ilana Kloss
    Ilana Kloss is a former South African professional tennis player and doubles specialist who later became a prominent tennis executive and business partner in sports ventures.
  • C. Annalee Newman
    Annalee Newman was the wife of influential American abstract expressionist painter Barnett Newman and an important steward of his artistic legacy.
  • D. Annalee Whitmore
    Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
  • E. Isabel Cooley
    Isabel Cooley was an American actress known for her work in mid-20th-century film and television, often appearing in socially themed dramas.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef6430081909084589f6eea5c7e completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774f93448190b8493b457636ae48 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2786b7d388190ad0d97bd41a60543 completed March 12, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_69b27c45f6b08190966fbc3fd28664ec completed March 12, 2026, 8:41 a.m.
Created at: March 8, 2026, 3:08 p.m.