Triple

T12671271
Position Surface form Disambiguated ID Type / Status
Subject Steppenwolf Theatre Company E302686 entity
Predicate hasProduction P26032 FINISHED
Object The Lover E294629 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: The Lover | Statement: [Steppenwolf Theatre Company, hasProduction, The Lover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lover
Context triple: [Steppenwolf Theatre Company, hasProduction, The Lover]
  • A. The Lover
    The Lover is a prominent modern Hebrew novel, best known as A. B. Yehoshua’s exploration of love, identity, and moral ambiguity in contemporary Israeli society.
  • B. The Lover
    The Lover is a 1992 French romantic drama film set in colonial Vietnam, adapted from Marguerite Duras’s semi-autobiographical novel and directed by Jean-Jacques Annaud.
  • C. The Lover chosen
    The Lover is a one-act play by Harold Pinter that explores the blurred boundaries between fantasy and reality within a seemingly conventional middle-class marriage.
  • D. The Great Lover
    The Great Lover is a 1931 British romantic comedy film starring Roland Young, known for its lighthearted take on love and high society.
  • E. The Great Lover
    The Great Lover is a 1949 romantic comedy film starring Bob Hope as a scoutmaster entangled with a con artist aboard a transatlantic ocean liner.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6689019988190ae3a3a52be45c83a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.