Triple
T2149749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen's Own Rifles of Canada |
E47151
|
entity |
| Predicate | D-DaySubsector |
P35495
|
FINISHED |
| Object |
Nan White
Nan White was a designated landing sector on Juno Beach used by Canadian forces during the D-Day invasion of Normandy in World War II.
|
E243453
|
NE FINISHED |
How this triple was built (5 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: Nan White | Statement: [The Queen's Own Rifles of Canada, D-DaySubsector, Nan White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nan White Context triple: [The Queen's Own Rifles of Canada, D-DaySubsector, Nan White]
-
A.
Ann White
Ann White is a singer best known as a member of the American folk music group The New Christy Minstrels.
-
B.
Rachel Leona White
Rachel Leona White was the wife of Sherman Adams, the former Governor of New Hampshire and White House Chief of Staff under President Dwight D. Eisenhower.
-
C.
Kim White
Kim White is a cinematographer best known for her work on the animated film "Inside Out."
-
D.
Frances White
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
-
E.
Nova Pilbeam
Nova Pilbeam was a British stage and film actress of the 1930s and 1940s, known for her roles in early Alfred Hitchcock thrillers and other notable British films.
- 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: Nan White Triple: [The Queen's Own Rifles of Canada, D-DaySubsector, Nan White]
Generated description
Nan White was a designated landing sector on Juno Beach used by Canadian forces during the D-Day invasion of Normandy in World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nan White Target entity description: Nan White was a designated landing sector on Juno Beach used by Canadian forces during the D-Day invasion of Normandy in World War II.
-
A.
Ann White
Ann White is a singer best known as a member of the American folk music group The New Christy Minstrels.
-
B.
Rachel Leona White
Rachel Leona White was the wife of Sherman Adams, the former Governor of New Hampshire and White House Chief of Staff under President Dwight D. Eisenhower.
-
C.
Kim White
Kim White is a cinematographer best known for her work on the animated film "Inside Out."
-
D.
Frances White
Frances White is a British actress known for her work in film, television, and theatre, including a role in the Norman Wisdom comedy "Press for Time."
-
E.
Nova Pilbeam
Nova Pilbeam was a British stage and film actress of the 1930s and 1940s, known for her roles in early Alfred Hitchcock thrillers and other notable British films.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: D-DaySubsector Context triple: [The Queen's Own Rifles of Canada, D-DaySubsector, Nan White]
-
A.
wasAlliedLandingSiteIn
Indicates that a location served as a landing site used by Allied forces within a specified military operation, campaign, or conflict context.
-
B.
numberOfChannelCrossingsAtNormandy
Indicates the number of times an entity crossed the English Channel specifically in relation to the Normandy area or campaign.
-
C.
DDaySector
chosen
Indicates the specific landing sector assigned or associated with an entity during the D-Day amphibious operations.
-
D.
alliedVictoryIn
Indicates that the subject participated in or contributed to a military or strategic victory achieved by an alliance or coalition in the specified context.
-
E.
WWIIBattleSite
Indicates that a location served as a site where a World War II battle took place.
- F. None of above.
Provenance (6 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d940bec8190998ef88ed44e5811 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae615a4ccc8190845b952892fe647a |
completed | March 9, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae61aab87c8190bb81b475f3a038f8 |
completed | March 9, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9846e88190b6c2941dd9ce7749 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.