Triple
T7136096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Fielding |
E166309
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mary Daniel
Mary Daniel was the wife of 18th-century English novelist and dramatist Henry Fielding.
|
E690461
|
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: Mary Daniel | Statement: [Henry Fielding, spouse, Mary Daniel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Daniel Context triple: [Henry Fielding, spouse, Mary Daniel]
-
A.
Mary Ruthven
Mary Ruthven was a 17th-century Scottish noblewoman best known as the wife of Flemish Baroque painter Sir Anthony van Dyck and a lady-in-waiting to Queen Henrietta Maria.
-
B.
Mary Elizabeth Piper
Mary Elizabeth Piper was the wife of English actor James Fox.
-
C.
Mary Rommely
Mary Rommely is the deeply religious, old-world immigrant grandmother in Betty Smith’s novel "A Tree Grows in Brooklyn," known for her enduring faith and influence on her daughter Katie Nolan and granddaughter Francie.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
May Daniels
May Daniels is a central comedic character in the play "Once in a Lifetime," known as a sharp-tongued, savvy showbiz figure navigating the chaos of early Hollywood.
- 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: Mary Daniel Triple: [Henry Fielding, spouse, Mary Daniel]
Generated description
Mary Daniel was the wife of 18th-century English novelist and dramatist Henry Fielding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Daniel Target entity description: Mary Daniel was the wife of 18th-century English novelist and dramatist Henry Fielding.
-
A.
Mary Ruthven
Mary Ruthven was a 17th-century Scottish noblewoman best known as the wife of Flemish Baroque painter Sir Anthony van Dyck and a lady-in-waiting to Queen Henrietta Maria.
-
B.
Mary Elizabeth Piper
Mary Elizabeth Piper was the wife of English actor James Fox.
-
C.
Mary Rommely
Mary Rommely is the deeply religious, old-world immigrant grandmother in Betty Smith’s novel "A Tree Grows in Brooklyn," known for her enduring faith and influence on her daughter Katie Nolan and granddaughter Francie.
-
D.
Mary Wheeler
Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
-
E.
May Daniels
May Daniels is a central comedic character in the play "Once in a Lifetime," known as a sharp-tongued, savvy showbiz figure navigating the chaos of early Hollywood.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9379e5898819083bece0d129fed5c |
completed | March 29, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69c93896e0788190ab14cc289919bfd6 |
completed | March 29, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c938e5e8b08190a1a4f4240036bb29 |
completed | March 29, 2026, 2:36 p.m. |
Created at: March 27, 2026, 2:45 p.m.