Triple

T5741950
Position Surface form Disambiguated ID Type / Status
Subject Jane Banks E126635 entity
Predicate associatedWith P37 FINISHED
Object Bert E290273 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: Bert | Statement: [Jane Banks, associatedWith, Bert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bert
Context triple: [Jane Banks, associatedWith, Bert]
  • A. Bert
    Bert is a film director best known for co-directing the 2019 coming-of-age comedy-drama "Troop Zero."
  • B. Bert
    Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
  • C. Bert chosen
    Bert is a serious, detail-oriented Muppet from Sesame Street, best known for his love of pigeons, paper clips, and his comedic odd-couple friendship with Ernie.
  • D. Bert
    Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
  • E. Bert
    Bert is the commonly used short form of the Dutch politician and diplomat Bert Koenders’ given name.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.