Triple

T11577013
Position Surface form Disambiguated ID Type / Status
Subject Watch on the Rhine E274531 entity
Predicate originalWorkAuthor P23529 FINISHED
Object Lillian Hellman E59353 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: Lillian Hellman | Statement: [Watch on the Rhine, originalWorkAuthor, Lillian Hellman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillian Hellman
Context triple: [Watch on the Rhine, originalWorkAuthor, Lillian Hellman]
  • A. Lillian Hellman chosen
    Lillian Hellman was an American playwright and screenwriter known for her politically charged dramas and her defiance of the House Un-American Activities Committee during the McCarthy era.
  • B. Dorothie Hellman
    Dorothie Hellman is an American peace activist and author known for her work on conflict resolution and for coauthoring books on personal and global peace with her husband, cryptographer Martin Hellman.
  • C. Frances Hellman
    Frances Hellman is an American physicist known for her research in condensed matter physics and for her leadership in the scientific community.
  • D. Mary Chase
    Mary Chase was an American playwright best known for writing the Pulitzer Prize–winning stage comedy "Harvey."
  • E. Arthur C. Miller
    Arthur C. Miller was an American cinematographer renowned for his work on numerous classic Hollywood films, including several Academy Award–winning productions.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89049721081909278adfada668ef9 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a78d80448190a93ca0ebfbd7e3a4 completed April 22, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:38 p.m.