Triple
T14632218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Pellew |
E343505
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susan Frowde
Susan Frowde was the wife of British Royal Navy officer and celebrated Napoleonic Wars admiral Edward Pellew, 1st Viscount Exmouth.
|
E1110590
|
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: Susan Frowde | Statement: [Edward Pellew, spouse, Susan Frowde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Frowde Context triple: [Edward Pellew, spouse, Susan Frowde]
-
A.
Elizabeth Dowdeswell
Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
-
B.
Margaret Froude
Margaret Froude was the wife of Victorian English historian and biographer James Anthony Froude.
-
C.
Martha Etpison
Martha Etpison is a Palauan cultural advocate and former First Lady of Palau known for her efforts to preserve and promote Palauan history and heritage.
-
D.
Philippa Goslett
Philippa Goslett is a British screenwriter and producer known for her work on films such as the biblical drama "Mary Magdalene" (2018).
-
E.
Sonia Todd
Sonia Todd is an individual associated with the work "Shine," likely recognized for a notable role or contribution connected to that title.
- 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: Susan Frowde Triple: [Edward Pellew, spouse, Susan Frowde]
Generated description
Susan Frowde was the wife of British Royal Navy officer and celebrated Napoleonic Wars admiral Edward Pellew, 1st Viscount Exmouth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Frowde Target entity description: Susan Frowde was the wife of British Royal Navy officer and celebrated Napoleonic Wars admiral Edward Pellew, 1st Viscount Exmouth.
-
A.
Elizabeth Dowdeswell
Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
-
B.
Margaret Froude
Margaret Froude was the wife of Victorian English historian and biographer James Anthony Froude.
-
C.
Martha Etpison
Martha Etpison is a Palauan cultural advocate and former First Lady of Palau known for her efforts to preserve and promote Palauan history and heritage.
-
D.
Philippa Goslett
Philippa Goslett is a British screenwriter and producer known for her work on films such as the biblical drama "Mary Magdalene" (2018).
-
E.
Sonia Todd
Sonia Todd is an individual associated with the work "Shine," likely recognized for a notable role or contribution connected to that title.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda931834081909d90ec0479eca3f9 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb27c8db481909330d299faded4f3 |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:26 a.m.