Triple
T9623303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Hughes |
E232396
|
entity |
| Predicate | formerCoach |
P4378
|
FINISHED |
| Object |
Bonnie Retzkin
Bonnie Retzkin is a figure skating coach best known for having coached American Olympic and World medalist Emily Hughes.
|
E830392
|
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: Bonnie Retzkin | Statement: [Emily Hughes, formerCoach, Bonnie Retzkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Retzkin Context triple: [Emily Hughes, formerCoach, Bonnie Retzkin]
-
A.
Bonnie Perlman
Bonnie Perlman is an actress known for appearing in the television series "Obsessed."
-
B.
Nancy Rutchik
Nancy Rutchik is an individual honored as the namesake of the Nancy Rutchik Red Maple Rill, a notable garden feature.
-
C.
Bonnie Bernstein
Bonnie Bernstein is an American sports journalist and television personality known for her sideline reporting and coverage of major events across networks like ESPN and CBS.
-
D.
Liz Gorinsky
Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
-
E.
Sonya Kalish
Sonya Kalish, better known by her stage name Sophie Tucker, was a famed early 20th-century American singer and comedian celebrated as "The Last of the Red Hot Mamas."
- 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: Bonnie Retzkin Triple: [Emily Hughes, formerCoach, Bonnie Retzkin]
Generated description
Bonnie Retzkin is a figure skating coach best known for having coached American Olympic and World medalist Emily Hughes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonnie Retzkin Target entity description: Bonnie Retzkin is a figure skating coach best known for having coached American Olympic and World medalist Emily Hughes.
-
A.
Bonnie Perlman
Bonnie Perlman is an actress known for appearing in the television series "Obsessed."
-
B.
Nancy Rutchik
Nancy Rutchik is an individual honored as the namesake of the Nancy Rutchik Red Maple Rill, a notable garden feature.
-
C.
Bonnie Bernstein
Bonnie Bernstein is an American sports journalist and television personality known for her sideline reporting and coverage of major events across networks like ESPN and CBS.
-
D.
Liz Gorinsky
Liz Gorinsky is an acclaimed science fiction and fantasy editor known for her influential work at Tor Books and for winning major genre awards.
-
E.
Sonya Kalish
Sonya Kalish, better known by her stage name Sophie Tucker, was a famed early 20th-century American singer and comedian celebrated as "The Last of the Red Hot Mamas."
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad650a4819096258665bc3f410b |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2284e9d0c8190ab09ad1fd0a123e3 |
completed | April 5, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_69d22990ef5881908b6a6100d7dcf6e6 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a0cb0808190a6119dc0268c50b9 |
completed | April 5, 2026, 9:23 a.m. |
Created at: March 30, 2026, 8:10 p.m.