Triple

T10286258
Position Surface form Disambiguated ID Type / Status
Subject Babes in Toyland (1961 film) E241235 entity
Predicate featuresCharacter P626 FINISHED
Object Barnaby E751450 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: Barnaby | Statement: [Babes in Toyland (1961 film), featuresCharacter, Barnaby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnaby
Context triple: [Babes in Toyland (1961 film), featuresCharacter, Barnaby]
  • A. Barnaby chosen
    Barnaby is a masculine given name of English origin, often considered a formal or variant form of the name Barney.
  • B. Barnaby Evans
    Barnaby Evans is an American artist best known for creating large-scale public art installations that transform urban spaces through fire, water, and light.
  • C. Barnaby Southcombe
    Barnaby Southcombe is a British film and television director and screenwriter, known for his work on projects such as the feature film "I, Anna."
  • D. Barnaby Fulton
    Barnaby Fulton is the bumbling chemist protagonist in the 1952 screwball comedy film "Monkey Business," famously portrayed by Cary Grant.
  • E. Boye
    Boye is the surname of Karin Boye, a renowned Swedish poet and novelist known for her modernist works and the dystopian novel "Kallocain."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b8343c819087c50e5471c46e3f completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f84d432c8190a7d33e6c9f8ba8f2 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:40 a.m.