Triple
T2021203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Hughes |
E44108
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Amy Pastarnack Hughes
Amy Pastarnack Hughes is best known as the mother of American Olympic figure skating champion Sarah Hughes.
|
E235132
|
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: Amy Pastarnack Hughes | Statement: [Sarah Hughes, mother, Amy Pastarnack Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Pastarnack Hughes Context triple: [Sarah Hughes, mother, Amy Pastarnack Hughes]
-
A.
Dorothy Auerbach
Dorothy Auerbach was the wife of legendary Boston Celtics coach and executive Red Auerbach.
-
B.
Ann Schmeltz Bowers
Ann Schmeltz Bowers is an American technology executive and philanthropist known for her early leadership roles at Intel and Apple and for her significant charitable contributions, particularly in education and technology.
-
C.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
D.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
E.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
- 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: Amy Pastarnack Hughes Triple: [Sarah Hughes, mother, Amy Pastarnack Hughes]
Generated description
Amy Pastarnack Hughes is best known as the mother of American Olympic figure skating champion Sarah Hughes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amy Pastarnack Hughes Target entity description: Amy Pastarnack Hughes is best known as the mother of American Olympic figure skating champion Sarah Hughes.
-
A.
Dorothy Auerbach
Dorothy Auerbach was the wife of legendary Boston Celtics coach and executive Red Auerbach.
-
B.
Ann Schmeltz Bowers
Ann Schmeltz Bowers is an American technology executive and philanthropist known for her early leadership roles at Intel and Apple and for her significant charitable contributions, particularly in education and technology.
-
C.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
D.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
E.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae304aa0888190a725234d8e527ac5 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae3197794c81908530b26fcb8a4a77 |
completed | March 9, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31f65444819090c2af22c21ec3e1 |
completed | March 9, 2026, 2:35 a.m. |
Created at: March 4, 2026, 7:38 p.m.