Triple

T1400672
Position Surface form Disambiguated ID Type / Status
Subject Darling and Pearson E30772 entity
Predicate hasMember P10 FINISHED
Object Frank Darling E31465 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: Frank Darling | Statement: [Darling and Pearson, hasMember, Frank Darling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Darling
Context triple: [Darling and Pearson, hasMember, Frank Darling]
  • A. Frank Darling chosen
    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.
  • B. Charley Dietz
    Charley Dietz is a quirky, womanizing neighbor and close friend of the main family on the sitcom "Empty Nest," known for his comedic antics and laid-back charm.
  • C. Jimmie Gumm
    Jimmie Gumm is a member of the Gumm family, known primarily as a sibling of Mary Jane Gumm, part of the family connected to entertainer Judy Garland.
  • D. Leslie
    Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
  • E. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39c4c148190997150996ca26a99 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57125a4819089216bbc75c36bb9 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.