Triple
T12378233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Spirit |
E295678
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Michele Kang
Michele Kang is a business executive and sports entrepreneur best known for leading ownership of the National Women's Soccer League club Washington Spirit.
|
E977827
|
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: Michele Kang | Statement: [Washington Spirit, owner, Michele Kang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Kang Context triple: [Washington Spirit, owner, Michele Kang]
-
A.
Michele Lee
Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
-
B.
Michele Lee
Michele Lee is a screenwriter best known for co-writing the comedy film "The Pink Panther 2."
-
C.
Michael Kang
Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
-
D.
David Kang
David Kang is a film and television producer best known for his work on the project "Detention."
-
E.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
- 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: Michele Kang Triple: [Washington Spirit, owner, Michele Kang]
Generated description
Michele Kang is a business executive and sports entrepreneur best known for leading ownership of the National Women's Soccer League club Washington Spirit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michele Kang Target entity description: Michele Kang is a business executive and sports entrepreneur best known for leading ownership of the National Women's Soccer League club Washington Spirit.
-
A.
Michele Lee
Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
-
B.
Michele Lee
Michele Lee is a screenwriter best known for co-writing the comedy film "The Pink Panther 2."
-
C.
Michael Kang
Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
-
D.
David Kang
David Kang is a film and television producer best known for his work on the project "Detention."
-
E.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac3c9f081909cd55f966ab6b465 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62c57a26081908d6903906f6e04f0 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.