Triple
T17025838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedicab Driver |
E413060
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Deannie Ip |
—
|
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: Deannie Ip | Statement: [Pedicab Driver, starring, Deannie Ip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deannie Ip Context triple: [Pedicab Driver, starring, Deannie Ip]
-
A.
Deannie Ip
chosen
Deannie Ip is a Hong Kong singer and actress renowned for her powerful vocals and acclaimed film performances, including award-winning roles in Cantonese cinema.
-
B.
Shirley Chan
Shirley Chan is a cinematographer best known for her work on the independent crime-drama film "Better Luck Tomorrow."
-
C.
Vivian Chow
Vivian Chow is a Hong Kong Cantopop singer and actress who rose to fame in the late 1980s and 1990s and became known as one of the era’s most popular idols.
-
D.
Teresa Cheng
Teresa Cheng is a film producer known for her work on major animated features, including entries in the Shrek franchise.
-
E.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
Created at: April 10, 2026, 5:33 a.m.