Triple
T21082461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punahou School |
E519402
|
entity |
| Predicate | alumnus |
P51
|
FINISHED |
| Object |
Michelle Wie West
Michelle Wie West is an American professional golfer who became famous as a teenage prodigy competing in both LPGA and PGA Tour events.
|
E1465908
|
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: Michelle Wie West | Statement: [Punahou School, alumnus, Michelle Wie West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Wie West Context triple: [Punahou School, alumnus, Michelle Wie West]
-
A.
Alice Kim
Alice Kim is an American former waitress and actress best known as the ex-wife of actor Nicolas Cage.
-
B.
Lydia Ko
Lydia Ko is a New Zealand professional golfer who became one of the youngest world number ones in the sport and is renowned for her multiple major championship victories on the LPGA Tour.
-
C.
Inbee Park
Inbee Park is a South Korean professional golfer and multiple major champion widely regarded as one of the greatest players in LPGA Tour history.
-
D.
Kristin Matheny
Kristin Matheny is known as the wife of former Major League Baseball player and manager Mike Matheny.
-
E.
Cheyenne Lee
Cheyenne Lee is a character from the TV series "Superstore," known as a young, quirky, and often naive Cloud 9 employee.
- 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: Michelle Wie West Triple: [Punahou School, alumnus, Michelle Wie West]
Generated description
Michelle Wie West is an American professional golfer who became famous as a teenage prodigy competing in both LPGA and PGA Tour events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Wie West Target entity description: Michelle Wie West is an American professional golfer who became famous as a teenage prodigy competing in both LPGA and PGA Tour events.
-
A.
Alice Kim
Alice Kim is an American former waitress and actress best known as the ex-wife of actor Nicolas Cage.
-
B.
Lydia Ko
Lydia Ko is a New Zealand professional golfer who became one of the youngest world number ones in the sport and is renowned for her multiple major championship victories on the LPGA Tour.
-
C.
Inbee Park
Inbee Park is a South Korean professional golfer and multiple major champion widely regarded as one of the greatest players in LPGA Tour history.
-
D.
Kristin Matheny
Kristin Matheny is known as the wife of former Major League Baseball player and manager Mike Matheny.
-
E.
Cheyenne Lee
Cheyenne Lee is a character from the TV series "Superstore," known as a young, quirky, and often naive Cloud 9 employee.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702dcbf9c81908e4cc016eb21bbbc |
completed | April 21, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a53da348190b2403c6103450822 |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095b36cd84819096cc2fca6356f0c7 |
completed | May 17, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095b9949988190a370e4faed3435a0 |
completed | May 17, 2026, 6:09 a.m. |
Created at: April 16, 2026, 2:49 p.m.