Triple
T12378234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Spirit |
E295678
|
entity |
| Predicate | chairperson |
P377
|
FINISHED |
| Object | Michele Kang |
E977827
|
NE FINISHED |
How this triple was built (2 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, chairperson, Michele Kang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Kang Context triple: [Washington Spirit, chairperson, Michele Kang]
-
A.
Michele Kang
chosen
Michele Kang is a business executive and sports entrepreneur best known for leading ownership of the National Women's Soccer League club Washington Spirit.
-
B.
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."
-
C.
Michele Lee
Michele Lee is a screenwriter best known for co-writing the comedy film "The Pink Panther 2."
-
D.
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.
-
E.
David Kang
David Kang is a film and television producer best known for his work on the project "Detention."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f634760210819080bc0261aa059132 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.