Triple
T22033123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wang Hui-ling |
E544133
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Foliage |
—
|
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: The Foliage | Statement: [Wang Hui-ling, notableWork, The Foliage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Foliage Context triple: [Wang Hui-ling, notableWork, The Foliage]
-
A.
The Foliage
chosen
The Foliage is a 2003 Chinese romantic drama film directed by Lü Yue, adapted from Liu Ye’s novel about love and loss set against the backdrop of the Cultural Revolution.
-
B.
Whiteleaf
Whiteleaf is a small village and residential area on the outskirts of Princes Risborough in Buckinghamshire, England, known for its scenic Chiltern Hills setting and the nearby Whiteleaf Cross chalk hill figure.
-
C.
The Trees
"The Trees" is a reflective poem by Philip Larkin that meditates on renewal, mortality, and the cyclical resilience of nature.
-
D.
The Trees
The Trees is a historical novel by Conrad Richter that portrays the struggles and resilience of early American settlers on the Ohio frontier.
-
E.
The Green Branch
"The Green Branch" is a notable poetry collection by Russian poet and translator Arseny Tarkovsky, reflecting his lyrical and philosophical style.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ee84848190a22c24bf14498520 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.