Triple
T17679459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ming Lee Simmons |
E440728
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ming Lee Simmons |
—
|
NE NERFINISHED |
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: Ming Lee Simmons | Statement: [Ming Lee Simmons, name, Ming Lee Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ming Lee Simmons Context triple: [Ming Lee Simmons, name, Ming Lee Simmons]
-
A.
Ming Lee Simmons
chosen
Ming Lee Simmons is an American model and social media personality, known as the daughter of entrepreneur Russell Simmons and fashion designer Kimora Lee Simmons.
-
B.
Aoki Lee Simmons
Aoki Lee Simmons is an American model and Harvard-educated daughter of fashion mogul Kimora Lee Simmons and music executive Russell Simmons.
-
C.
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."
-
D.
Michele Lee
Michele Lee is a screenwriter best known for co-writing the comedy film "The Pink Panther 2."
-
E.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6f8054819087b2fe9bc8ad8d2f |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10:01 a.m.