Triple
T9345531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokosuka P1Y |
E224879
|
entity |
| Predicate | alliedReportingName |
P19661
|
FINISHED |
| Object |
Frances
Frances is the Allied reporting name for the Japanese Yokosuka P1Y twin-engine land-based bomber used by the Imperial Japanese Navy during World War II.
|
E792996
|
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: Frances | Statement: [Yokosuka P1Y, alliedReportingName, Frances]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frances Context triple: [Yokosuka P1Y, alliedReportingName, Frances]
-
A.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Oneida
Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
-
C.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
D.
Mariana
"Mariana" is a famous 1851 Pre-Raphaelite painting by John Everett Millais depicting a solitary woman in a richly detailed interior, inspired by Shakespeare’s "Measure for Measure" and Tennyson’s poem of the same name.
-
E.
Mariana
Mariana is a neighborhood (barrio) within the city of Dorado, Puerto Rico.
- 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: Frances Triple: [Yokosuka P1Y, alliedReportingName, Frances]
Generated description
Frances is the Allied reporting name for the Japanese Yokosuka P1Y twin-engine land-based bomber used by the Imperial Japanese Navy during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frances Target entity description: Frances is the Allied reporting name for the Japanese Yokosuka P1Y twin-engine land-based bomber used by the Imperial Japanese Navy during World War II.
-
A.
Frances
Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Oneida
Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
-
C.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
D.
Mariana
"Mariana" is a famous 1851 Pre-Raphaelite painting by John Everett Millais depicting a solitary woman in a richly detailed interior, inspired by Shakespeare’s "Measure for Measure" and Tennyson’s poem of the same name.
-
E.
Mariana
Mariana is a neighborhood (barrio) within the city of Dorado, Puerto Rico.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0e2ccc8190a68f1c96c0886660 |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e41ccdcc8190b2939716984b2c7b |
completed | April 4, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.