Triple

T5633598
Position Surface form Disambiguated ID Type / Status
Subject Remember My Name E147890 entity
Predicate hasMainCharacter P1183 FINISHED
Object Emily unclear NED1 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: Emily | Statement: [Remember My Name, hasMainCharacter, Emily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily
Context triple: [Remember My Name, hasMainCharacter, Emily]
  • A. 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.
  • B. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • C. Emma
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • D. Emma
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • E. Jane
    Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225ff3248190b93c9f5887553fd4 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dae1744819083cc8827ade7478c completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:41 p.m.