Triple

T13104796
Position Surface form Disambiguated ID Type / Status
Subject Mariel Hemingway E310815 entity
Predicate notableRole P22 FINISHED
Object Kathy in Lipstick E1007985 NE FINISHED

How this triple was built (2 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: Kathy in Lipstick | Statement: [Mariel Hemingway, notableRole, Kathy in Lipstick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy in Lipstick
Context triple: [Mariel Hemingway, notableRole, Kathy in Lipstick]
  • A. Lipstick chosen
    Lipstick is a 1976 American thriller film known for its controversial depiction of sexual assault and revenge, starring Margaux Hemingway in her film debut.
  • B. A Little Bit of Lipstick
    A Little Bit of Lipstick is a memoir by model and actress Mia Tyler in which she candidly recounts her turbulent upbringing, struggles with body image and addiction, and journey toward self-acceptance.
  • C. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • D. Kathy
    Kathy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Katherine or Kathleen.
  • E. Lipstick Jungle
    Lipstick Jungle is an American comedy-drama television series that follows the professional and personal lives of three powerful women navigating careers and relationships in New York City.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e277b89c8190a0d895eb46836525 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.