Triple
T15485632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morton Sahl |
E377038
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | China Lee |
E376693
|
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: China Lee | Statement: [Morton Sahl, spouse, China Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Lee Context triple: [Morton Sahl, spouse, China Lee]
-
A.
China Lee
chosen
China Lee is an American model and actress best known as the first Asian American Playboy Playmate, featured as Playmate of the Month in August 1964.
-
B.
Yun Lee
Yun Lee is the child of Korean-American actor and martial artist Will Yun Lee.
-
C.
Chinsea Lee
Chinsea Lee is a Jamaican dancehall and reggae artist and songwriter, better known by her stage name Shenseea, recognized for her energetic performances and genre-blending hits.
-
D.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
E.
Thai Lee
Thai Lee is a Korean-American entrepreneur and business executive best known as the co-founder, president, and CEO of SHI International, one of the largest woman-owned technology solutions providers in the United States.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8f71a08190a440ff19dcc65312 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365b3980819094d3ca0b7766009c |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:46 a.m.