Triple

T14585694
Position Surface form Disambiguated ID Type / Status
Subject Michael Darling E342309 entity
Predicate sibling P363 FINISHED
Object John Darling E339881 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: John Darling | Statement: [Michael Darling, sibling, John Darling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Darling
Context triple: [Michael Darling, sibling, John Darling]
  • A. John Darling chosen
    John Darling is one of the Darling children in J.M. Barrie’s Peter Pan, known as Wendy’s younger brother who flies to Neverland with Peter.
  • B. Jon Darling
    Jon Darling is an actor known for appearing in the production "Sweetie."
  • C. Frank Darling
    Frank Darling was a prominent Canadian architect of the late 19th and early 20th centuries, known for designing many significant institutional and commercial buildings in Toronto.
  • D. 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.
  • E. Jimmy Darling
    Jimmy Darling is a central character in the television series "American Horror Story: Freak Show," portrayed as a kind-hearted "lobster boy" performer struggling for acceptance and justice within a 1950s sideshow community.
  • 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.