Triple
T9344921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Callaghan |
E224863
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object |
Tonia Kwiatkowski
Tonia Kwiatkowski is an American former competitive figure skater known for her success on the national and international circuit in the 1990s.
|
E792858
|
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: Tonia Kwiatkowski | Statement: [Richard Callaghan, coached, Tonia Kwiatkowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonia Kwiatkowski Context triple: [Richard Callaghan, coached, Tonia Kwiatkowski]
-
A.
Marta Kwiatkowska
Marta Kwiatkowska is a prominent computer scientist known for her contributions to probabilistic model checking and formal verification.
-
B.
Anna Kuzniar
Anna Kuzniar was the wife of American film director Anthony Mann, known primarily in relation to his personal life rather than for a public career of her own.
-
C.
Agata Kornhauser-Duda
Agata Kornhauser-Duda is a Polish teacher and the First Lady of Poland, known for her role as the wife of President Andrzej Duda.
-
D.
Elana Toruń
Elana Toruń is a Polish football club based in the city of Toruń.
-
E.
Aleksandra Dulkiewicz
Aleksandra Dulkiewicz is a Polish lawyer and politician who serves as the mayor of Gdańsk, known for her pro-European stance and advocacy of democratic values.
- 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: Tonia Kwiatkowski Triple: [Richard Callaghan, coached, Tonia Kwiatkowski]
Generated description
Tonia Kwiatkowski is an American former competitive figure skater known for her success on the national and international circuit in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tonia Kwiatkowski Target entity description: Tonia Kwiatkowski is an American former competitive figure skater known for her success on the national and international circuit in the 1990s.
-
A.
Marta Kwiatkowska
Marta Kwiatkowska is a prominent computer scientist known for her contributions to probabilistic model checking and formal verification.
-
B.
Anna Kuzniar
Anna Kuzniar was the wife of American film director Anthony Mann, known primarily in relation to his personal life rather than for a public career of her own.
-
C.
Agata Kornhauser-Duda
Agata Kornhauser-Duda is a Polish teacher and the First Lady of Poland, known for her role as the wife of President Andrzej Duda.
-
D.
Elana Toruń
Elana Toruń is a Polish football club based in the city of Toruń.
-
E.
Aleksandra Dulkiewicz
Aleksandra Dulkiewicz is a Polish lawyer and politician who serves as the mayor of Gdańsk, known for her pro-European stance and advocacy of democratic values.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0ce7b881908714ab526d94fa1d |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e41ccdcc8190b2939716984b2c7b |
completed | April 4, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_69d0e573af788190be4baaa3afb87ca2 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e607944c81909a421828595cd793 |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:41 p.m.