Triple
T3353345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund of Langley, 1st Duke of York |
E70546
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joan Holland
Joan Holland was an English noblewoman of the late 14th and early 15th centuries, connected to the royal House of York through her marriage to Edmund of Langley, 1st Duke of York.
|
E396613
|
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: Joan Holland | Statement: [Edmund of Langley, 1st Duke of York, spouse, Joan Holland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Holland Context triple: [Edmund of Langley, 1st Duke of York, spouse, Joan Holland]
-
A.
Anne Heywood
Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
-
B.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
C.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
D.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
-
E.
Joan W. Harris
Joan W. Harris was a Chicago-based philanthropist and arts patron known for her leadership and major contributions to cultural and educational institutions.
- 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: Joan Holland Triple: [Edmund of Langley, 1st Duke of York, spouse, Joan Holland]
Generated description
Joan Holland was an English noblewoman of the late 14th and early 15th centuries, connected to the royal House of York through her marriage to Edmund of Langley, 1st Duke of York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Holland Target entity description: Joan Holland was an English noblewoman of the late 14th and early 15th centuries, connected to the royal House of York through her marriage to Edmund of Langley, 1st Duke of York.
-
A.
Anne Heywood
Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
-
B.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
C.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
D.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
-
E.
Joan W. Harris
Joan W. Harris was a Chicago-based philanthropist and arts patron known for her leadership and major contributions to cultural and educational institutions.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb23ec53881908a04c7f784fe8c43 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c5e56b081909794cbab0c3e1cc9 |
completed | March 14, 2026, 8:29 a.m. |
| NEDg | Description generation | batch_69b51d61e89081909e1df16631274746 |
completed | March 14, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51dcb5cb88190ad859cde9f10918a |
completed | March 14, 2026, 8:35 a.m. |
Created at: March 8, 2026, 3:13 p.m.