Triple

T9969892
Position Surface form Disambiguated ID Type / Status
Subject Life in Pieces E196176 entity
Predicate stars P1956 FINISHED
Object Betsy Brandt
Betsy Brandt is an American actress best known for her role as Marie Schrader on the television series "Breaking Bad."
E831777 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: Betsy Brandt | Statement: [Life in Pieces, stars, Betsy Brandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betsy Brandt
Context triple: [Life in Pieces, stars, Betsy Brandt]
  • A. Sue Faldo
    Sue Faldo is best known as the former wife of English professional golfer and six-time major champion Nick Faldo.
  • B. Jackie Burke
    Jackie Burke is the resourceful middle-aged flight attendant and central protagonist of Elmore Leonard’s crime novel "Rum Punch," later adapted into the film "Jackie Brown."
  • C. Renee Richards
    Renee Richards is a pioneering transgender ophthalmologist and former professional tennis player who became known for her legal battle to compete as a woman and later for coaching top players on the women’s tour.
  • D. Annika
    Annika is a television crime drama series featuring Kate Dickie in a prominent role.
  • E. Martine Bancroft
    Martine Bancroft is a Marvel Comics character closely associated with the antihero Morbius, often depicted as his fiancée and a key emotional anchor in his storyline.
  • 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: Betsy Brandt
Triple: [Life in Pieces, stars, Betsy Brandt]
Generated description
Betsy Brandt is an American actress best known for her role as Marie Schrader on the television series "Breaking Bad."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betsy Brandt
Target entity description: Betsy Brandt is an American actress best known for her role as Marie Schrader on the television series "Breaking Bad."
  • A. Sue Faldo
    Sue Faldo is best known as the former wife of English professional golfer and six-time major champion Nick Faldo.
  • B. Jackie Burke
    Jackie Burke is the resourceful middle-aged flight attendant and central protagonist of Elmore Leonard’s crime novel "Rum Punch," later adapted into the film "Jackie Brown."
  • C. Renee Richards
    Renee Richards is a pioneering transgender ophthalmologist and former professional tennis player who became known for her legal battle to compete as a woman and later for coaching top players on the women’s tour.
  • D. Annika
    Annika is a television crime drama series featuring Kate Dickie in a prominent role.
  • E. Martine Bancroft
    Martine Bancroft is a Marvel Comics character closely associated with the antihero Morbius, often depicted as his fiancée and a key emotional anchor in his storyline.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dca14d081909573e91a576921c9 completed April 5, 2026, 10:47 a.m.
NEDg Description generation batch_69d23f63a0d08190a3ace2e4bb58a9ac completed April 5, 2026, 10:54 a.m.
NED2 Entity disambiguation (via description) batch_69d23ff6fdc4819082d8d575a3901ea8 completed April 5, 2026, 10:56 a.m.
Created at: March 30, 2026, 8:48 p.m.