Triple
T19906158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Katharine Josepha Broughton |
E478421
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Lady Fisher
Lady Fisher is the noble title held by Frances Katharine Josepha Broughton, a British aristocrat associated with the Fisher family.
|
E1400807
|
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: Lady Fisher | Statement: [Frances Katharine Josepha Broughton, title, Lady Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Fisher Context triple: [Frances Katharine Josepha Broughton, title, Lady Fisher]
-
A.
Lady Julia Fish
Lady Julia Fish is a fictional aristocratic character from P. G. Wodehouse’s Blandings Castle stories, known as one of Lord Emsworth’s many siblings.
-
B.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Anna Molly
"Anna Molly" is a 2006 alternative rock song by the American band Incubus, known for its energetic sound and enigmatic, wordplay-based title.
-
E.
Lady Ella
Lady Ella is the affectionate nickname of Ella Fitzgerald, the legendary American jazz singer renowned for her pure tone, impeccable diction, and virtuosic scat singing.
- 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: Lady Fisher Triple: [Frances Katharine Josepha Broughton, title, Lady Fisher]
Generated description
Lady Fisher is the noble title held by Frances Katharine Josepha Broughton, a British aristocrat associated with the Fisher family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Fisher Target entity description: Lady Fisher is the noble title held by Frances Katharine Josepha Broughton, a British aristocrat associated with the Fisher family.
-
A.
Lady Julia Fish
Lady Julia Fish is a fictional aristocratic character from P. G. Wodehouse’s Blandings Castle stories, known as one of Lord Emsworth’s many siblings.
-
B.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Anna Molly
"Anna Molly" is a 2006 alternative rock song by the American band Incubus, known for its energetic sound and enigmatic, wordplay-based title.
-
E.
Lady Ella
Lady Ella is the affectionate nickname of Ella Fitzgerald, the legendary American jazz singer renowned for her pure tone, impeccable diction, and virtuosic scat singing.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65946916881909c3f52208c07aa64 |
completed | April 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea494af08190ac8c43797bff5012 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07ee6d8ef481908987eef826425806 |
completed | May 16, 2026, 4:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07eec5b4788190b697a0b7382b5c2b |
completed | May 16, 2026, 4:12 a.m. |
Created at: April 10, 2026, 1:52 p.m.