Triple
T201171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fay Wray |
E4506
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Susan Saunders
Susan Saunders is the daughter of classic Hollywood actress Fay Wray, best known for her iconic role in the 1933 film "King Kong."
|
E116337
|
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 Saunders | Statement: [Fay Wray, child, Susan Saunders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Saunders Context triple: [Fay Wray, child, Susan Saunders]
-
A.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
B.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
-
C.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
D.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
E.
Joanne Rogers
Joanne Rogers was an American concert pianist and television personality best known as the longtime wife and collaborator of children's television icon Fred Rogers and as a prominent advocate for his legacy.
- 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 Saunders Triple: [Fay Wray, child, Susan Saunders]
Generated description
Susan Saunders is the daughter of classic Hollywood actress Fay Wray, best known for her iconic role in the 1933 film "King Kong."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Saunders Target entity description: Susan Saunders is the daughter of classic Hollywood actress Fay Wray, best known for her iconic role in the 1933 film "King Kong."
-
A.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
B.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
-
C.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
D.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
E.
Joanne Rogers
Joanne Rogers was an American concert pianist and television personality best known as the longtime wife and collaborator of children's television icon Fred Rogers and as a prominent advocate for his legacy.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be5a6d081909723b23a6361d6ea |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cc7fc6c8190ac5da1e473396932 |
completed | March 7, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69ac1d3b36c08190852dc68a1dc282f2 |
completed | March 7, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1ded444c81909a7b9f9e3869bd38 |
completed | March 7, 2026, 12:45 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.