Triple

T7954949
Position Surface form Disambiguated ID Type / Status
Subject Sarah Churchill E184707 entity
Predicate notableWork P4 FINISHED
Object Danielle E184707 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: Danielle | Statement: [Sarah Churchill, notableWork, Danielle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danielle
Context triple: [Sarah Churchill, notableWork, Danielle]
  • A. Danielle chosen
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • B. Danielle
    Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
  • C. Danielle Vitalis
    Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
  • D. Bree Daniels
    Bree Daniels is the troubled New York City call girl and aspiring actress portrayed by Jane Fonda in the 1971 neo-noir film "Klute."
  • E. Nicole
    Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b60e9508190ad9974ad551bcbc6 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc937e687081908ae33ae7335d685e completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:11 p.m.