Triple

T14585693
Position Surface form Disambiguated ID Type / Status
Subject Michael Darling E342309 entity
Predicate sibling P363 FINISHED
Object Wendy Darling E322665 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: Wendy Darling | Statement: [Michael Darling, sibling, Wendy Darling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Darling
Context triple: [Michael Darling, sibling, Wendy Darling]
  • A. Wendy Darling chosen
    Wendy Darling is a central character in J. M. Barrie’s Peter Pan stories, known as the imaginative, nurturing girl who travels to Neverland and becomes a motherly figure to the Lost Boys.
  • B. Alice, Darling
    Alice, Darling is a 2022 psychological thriller film starring Anna Kendrick as a woman trapped in an emotionally abusive relationship.
  • C. Eliza Darling
    Eliza Darling was a 19th-century British-born philanthropist and artist known for her influential role in social and cultural life in colonial New South Wales.
  • D. Florence Baum
    Florence Baum was the first wife of filmmaker and comedian Mel Brooks, with whom she had three children before her death in 1970.
  • E. Mary Darling
    Mary Darling is a character in J.M. Barrie’s Peter Pan stories, depicted as the gentle and caring mother of Wendy, John, and Michael Darling in early 20th-century London.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bef27481908c108110dbf21780 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.