Triple
T6794638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith Fricker |
E156022
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Betsy Fricker
Betsy Fricker is a woman known primarily as the sister of Edith Fricker.
|
E657308
|
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: Betsy Fricker | Statement: [Edith Fricker, sibling, Betsy Fricker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Fricker Context triple: [Edith Fricker, sibling, Betsy Fricker]
-
A.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
-
B.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
C.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
D.
Sally Fitzgerald
Sally Fitzgerald was an American literary editor and scholar best known for her work on the writings and letters of Flannery O’Connor.
-
E.
Eleanor Parker
Eleanor Parker was an acclaimed American film and television actress best known for her versatile dramatic roles, including the Baroness in "The Sound of Music."
- 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: Betsy Fricker Triple: [Edith Fricker, sibling, Betsy Fricker]
Generated description
Betsy Fricker is a woman known primarily as the sister of Edith Fricker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betsy Fricker Target entity description: Betsy Fricker is a woman known primarily as the sister of Edith Fricker.
-
A.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
-
B.
Elizabeth Baur
Elizabeth Baur was an American television actress best known for her role as Officer Fran Belding on the crime drama series "Ironside."
-
C.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
D.
Sally Fitzgerald
Sally Fitzgerald was an American literary editor and scholar best known for her work on the writings and letters of Flannery O’Connor.
-
E.
Eleanor Parker
Eleanor Parker was an acclaimed American film and television actress best known for her versatile dramatic roles, including the Baroness in "The Sound of Music."
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c59648819081736d27d52d957f |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eeb79b9c819084738c207aa5c62d |
completed | March 28, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_69c7efece4708190b27d973bce45f389 |
completed | March 28, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f08355408190a6efdcf66fd3988e |
completed | March 28, 2026, 3:15 p.m. |
Created at: March 27, 2026, 2:15 p.m.