Triple

T9721620
Position Surface form Disambiguated ID Type / Status
Subject Kawanishi H8K E235485 entity
Predicate natoReportingName P6062 FINISHED
Object Emily
Emily is the NATO reporting name for the Kawanishi H8K, a World War II-era Japanese four-engine flying boat used primarily for long-range maritime patrol and reconnaissance.
 E819434 NE FINISHED

How this triple was built (4 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: [Kawanishi H8K, natoReportingName, Emily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emily
Context triple: [Kawanishi H8K, natoReportingName, 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. Emily
    "Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
  • D. Emma
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • E. Emma
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emily
Triple: [Kawanishi H8K, natoReportingName, Emily]
Generated description
Emily is the NATO reporting name for the Kawanishi H8K, a World War II-era Japanese four-engine flying boat used primarily for long-range maritime patrol and reconnaissance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emily
Target entity description: Emily is the NATO reporting name for the Kawanishi H8K, a World War II-era Japanese four-engine flying boat used primarily for long-range maritime patrol and reconnaissance.
  • 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. Emily
    "Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
  • D. Emma
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • E. Emma
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • F. None of above. chosen

Provenance (5 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e42ce948190b52791b27c4456dc completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc45bfc81909b86d10598d9bd39 completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1bd42e3888190b13970710a9620d7 completed April 5, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69d1bdd5ec94819083edd1cb2c9598a0 completed April 5, 2026, 1:41 a.m.
Created at: March 30, 2026, 8:20 p.m.