Triple
T22209615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Hui |
E548905
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Golden Era |
—
|
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 Golden Era | Statement: [Ann Hui, notableWork, The Golden Era]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Golden Era Context triple: [Ann Hui, notableWork, The Golden Era]
-
A.
The Golden Era
chosen
The Golden Era is a 2014 Chinese historical drama film directed by Ann Hui that portrays the turbulent life and tragic fate of writer Xiao Hong in 1930s China.
-
B.
The Golden Age
The Golden Age is the original title of the Jehovah’s Witnesses’ religious magazine that was later renamed Awake!.
-
C.
The Golden Age
The Golden Age is a mythological painting by Dutch Mannerist artist Joachim Wtewael that depicts an idyllic, harmonious vision of humanity’s earliest era.
-
D.
The Golden Age
The Golden Age is a nostalgic collection of semi-autobiographical childhood essays by British author Kenneth Grahame, celebrating the imaginative inner world of children in a Victorian setting.
-
E.
The Golden Age
The Golden Age is a 1946 film drama in which Geraldine Fitzgerald delivered one of her notable screen performances.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2aefb881909bddbabd4be0bd58 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.