Triple

T22312680
Position Surface form Disambiguated ID Type / Status
Subject Leila LaSalle E551559 entity
Predicate appearsIn P795 FINISHED
Object Weep No More, My Lady — NE NERFINISHED

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: Weep No More, My Lady | Statement: [Leila LaSalle, appearsIn, Weep No More, My Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weep No More, My Lady
Context triple: [Leila LaSalle, appearsIn, Weep No More, My Lady]
  • A. Weep No More, My Lady chosen
    Weep No More, My Lady is a suspense novel by bestselling American mystery writer Mary Higgins Clark, centered on a woman uncovering dark secrets behind her sister’s apparent suicide.
  • B. For My Lady
    For My Lady is a romantic visual novel game known for its narrative-driven storytelling and character-focused drama.
  • C. How I Weep
    "How I Weep" is a melancholic, jazz-inflected song by Norah Jones from her album "Pick Me Up Off the Floor."
  • D. My Lady
    "My Lady" is a formal, respectful mode of address traditionally used when speaking to or about a woman of noble rank, such as a marchioness.
  • E. Our Dear Lady
    Our Dear Lady is a Christian title referring to the Virgin Mary, venerated as the mother of Jesus and a central figure in Catholic devotion.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15750f76c81909d6f788928f503f1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.