Triple

T7325673
Position Surface form Disambiguated ID Type / Status
Subject Emmie E168867 entity
Predicate isVariantOf P455 FINISHED
Object Emma E30843 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: Emma | Statement: [Emmie, isVariantOf, Emma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma
Context triple: [Emmie, isVariantOf, Emma]
  • A. Emma chosen
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • B. Emma
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • C. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • D. Emily
    Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
  • E. Emily
    "Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0a612c08190b7a3fefa811bbcec completed March 27, 2026, 9:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827651b7c81908f5dca5903183b7b completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:03 p.m.