Triple

T11621643
Position Surface form Disambiguated ID Type / Status
Subject Daria E275651 entity
Predicate creator P184 FINISHED
Object Susie Lewis E530485 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: Susie Lewis | Statement: [Daria, creator, Susie Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susie Lewis
Context triple: [Daria, creator, Susie Lewis]
  • A. Susie Lewis chosen
    Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
  • B. Karen Lewis
    Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
  • C. Susie Myerson
    Susie Myerson is a tough, sharp-tongued talent manager and key supporting character on the television series "The Marvelous Mrs. Maisel."
  • D. Susan Lewis
    Susan Lewis is a fictional emergency physician and central character on the television series "ER," known for her dedication, compassion, and complex personal storylines.
  • E. Diana Lewis
    Diana Lewis was an American film actress best known for her work in the late 1930s and 1940s and for being married to actor William Powell.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef311c4819094b6b08a62d3afb3 completed May 3, 2026, 7:53 a.m.
Created at: April 8, 2026, 9:39 p.m.