Triple
T9826317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calder Willingham |
E238660
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jane Willingham
Jane Willingham is best known as the wife of American novelist and screenwriter Calder Willingham.
|
E847869
|
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: Jane Willingham | Statement: [Calder Willingham, spouse, Jane Willingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Willingham Context triple: [Calder Willingham, spouse, Jane Willingham]
-
A.
Catherine Willard
Catherine Willard was the wife of American actor Ralph Bellamy, known primarily for her marriage to the prominent film and stage star.
-
B.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
C.
Katherine Willis
Katherine Willis is an American actress known for her work in film and television, including a role in the action drama "Mercury Plains."
-
D.
Jane Osgood
Jane Osgood is the plucky small-town widow and lobster business owner who battles a powerful railroad company in the 1959 romantic comedy film "It Happened to Jane."
-
E.
Willa Weston
Willa Weston is a driven and ambitious executive character in the comedy film "Fierce Creatures," known for her sharp wit and corporate savvy.
- 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: Jane Willingham Triple: [Calder Willingham, spouse, Jane Willingham]
Generated description
Jane Willingham is best known as the wife of American novelist and screenwriter Calder Willingham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jane Willingham Target entity description: Jane Willingham is best known as the wife of American novelist and screenwriter Calder Willingham.
-
A.
Catherine Willard
Catherine Willard was the wife of American actor Ralph Bellamy, known primarily for her marriage to the prominent film and stage star.
-
B.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
C.
Katherine Willis
Katherine Willis is an American actress known for her work in film and television, including a role in the action drama "Mercury Plains."
-
D.
Jane Osgood
Jane Osgood is the plucky small-town widow and lobster business owner who battles a powerful railroad company in the 1959 romantic comedy film "It Happened to Jane."
-
E.
Willa Weston
Willa Weston is a driven and ambitious executive character in the comedy film "Fierce Creatures," known for her sharp wit and corporate savvy.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb32370e8819087c85fb8328587be |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32a5921c8819085a2188805b4811c |
completed | April 6, 2026, 3:36 a.m. |
| NEDg | Description generation | batch_69d32b4030d0819092f13e894dbaa2e7 |
completed | April 6, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d32b97b5a081908c6e1a6485e37816 |
completed | April 6, 2026, 3:42 a.m. |
Created at: March 30, 2026, 8:32 p.m.