Triple
T17235859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 梅林茂 |
E418356
|
entity |
| Predicate | 代表作 |
P4
|
FINISHED |
| Object | 花様年華 |
E1024364
|
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: 花様年華 | Statement: [梅林茂, 代表作, 花様年華]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 花様年華 Context triple: [梅林茂, 代表作, 花様年華]
-
A.
Yankai
Yankai is a given name most notably associated with Tan Yankai, a prominent early 20th-century Chinese politician and statesman.
-
B.
In the Mood for Love
In the Mood for Love is a critically acclaimed 2000 Hong Kong romantic drama film renowned for its lush cinematography, restrained storytelling, and poignant portrayal of unfulfilled love.
-
C.
Flowers of Shanghai
chosen
Flowers of Shanghai is a 1998 Taiwanese period drama film directed by Hou Hsiao-hsien, set in the opulent brothels of 19th-century Shanghai and renowned for its languid pacing, long takes, and lush, atmospheric cinematography.
-
D.
Shanghai Lily
Shanghai Lily is the sophisticated and enigmatic female protagonist portrayed by Marlene Dietrich in the 1932 film "Shanghai Express."
-
E.
City of a Million Flowers
City of a Million Flowers is a picturesque nickname for Magelang, Indonesia, highlighting its lush greenery, abundant blossoms, and scenic, garden-like urban landscape.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfb04e481909f4ee3ed31fffe10 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01676382388190ab82bd10bd53f59e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.