Triple
T9344917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Callaghan |
E224863
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object |
Kimmie Meissner
Kimmie Meissner is an American figure skater who won the 2006 World Championship and is known for her powerful jumping ability and technical skill.
|
E794612
|
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: Kimmie Meissner | Statement: [Richard Callaghan, coached, Kimmie Meissner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimmie Meissner Context triple: [Richard Callaghan, coached, Kimmie Meissner]
-
A.
Gracie Gold
Gracie Gold is an American figure skater known for being a U.S. national champion and competing in the 2014 Winter Olympics.
-
B.
Jamie Linden
Jamie Linden is an American screenwriter and film director known for writing movies such as "We Are Marshall," "Dear John," and the financial thriller "Money Monster."
-
C.
Scott Moir
Scott Moir is a Canadian ice dancer and Olympic champion best known for his long-time partnership with Tessa Virtue.
-
D.
Sarah Hughes
Sarah Hughes is an American figure skater best known for winning the ladies' singles gold medal at the 2002 Winter Olympics.
-
E.
Valerie Velardi
Valerie Velardi is an American actress and dancer best known as the first wife of comedian and actor Robin Williams.
- 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: Kimmie Meissner Triple: [Richard Callaghan, coached, Kimmie Meissner]
Generated description
Kimmie Meissner is an American figure skater who won the 2006 World Championship and is known for her powerful jumping ability and technical skill.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kimmie Meissner Target entity description: Kimmie Meissner is an American figure skater who won the 2006 World Championship and is known for her powerful jumping ability and technical skill.
-
A.
Gracie Gold
Gracie Gold is an American figure skater known for being a U.S. national champion and competing in the 2014 Winter Olympics.
-
B.
Jamie Linden
Jamie Linden is an American screenwriter and film director known for writing movies such as "We Are Marshall," "Dear John," and the financial thriller "Money Monster."
-
C.
Scott Moir
Scott Moir is a Canadian ice dancer and Olympic champion best known for his long-time partnership with Tessa Virtue.
-
D.
Sarah Hughes
Sarah Hughes is an American figure skater best known for winning the ladies' singles gold medal at the 2002 Winter Olympics.
-
E.
Valerie Velardi
Valerie Velardi is an American actress and dancer best known as the first wife of comedian and actor Robin Williams.
- 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_69d0f3c197208190bde7850de266fdf0 |
completed | April 4, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d0f62b28c08190aeb383e699af6e6c |
completed | April 4, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f695bd6881908fde5dab24c224b4 |
completed | April 4, 2026, 11:31 a.m. |
Created at: March 30, 2026, 7:41 p.m.