Triple
T18076660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus Flower |
E432569
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Anna May Wong |
—
|
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: Anna May Wong | Statement: [Lotus Flower, portrayedBy, Anna May Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna May Wong Context triple: [Lotus Flower, portrayedBy, Anna May Wong]
-
A.
Anna May Wong
chosen
Anna May Wong was a pioneering Chinese American actress and international film star of the early 20th century, widely regarded as the first Asian American Hollywood movie star.
-
B.
Nancy Kwan
Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
-
C.
Mei Lanfang
Mei Lanfang was a legendary 20th-century Peking opera artist renowned for his pioneering performances in female roles and his influential international tours.
-
D.
Chow Mei-ching
Chow Mei-ching is a Taiwanese lawyer and the wife of former President Ma Ying-jeou, who served as First Lady of the Republic of China (Taiwan).
-
E.
Ruan Lingyu
Ruan Lingyu was a celebrated Chinese silent film actress of the early 20th century, renowned for her emotionally powerful performances and tragic early death.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f5d10481908b09af0b44d3db4f |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:26 a.m.