Triple
T17025835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedicab Driver |
E413060
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lam Ching‑ying |
—
|
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: Lam Ching‑ying | Statement: [Pedicab Driver, starring, Lam Ching‑ying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lam Ching‑ying Context triple: [Pedicab Driver, starring, Lam Ching‑ying]
-
A.
Lam Ching-ying
chosen
Lam Ching-ying was a renowned Hong Kong actor and action choreographer, best known internationally for his iconic Taoist priest roles in classic martial arts and horror-comedy films.
-
B.
Miriam Yeung
Miriam Yeung is a prominent Hong Kong Cantopop singer and actress known for her hit ballads and successful film roles.
-
C.
Selina Tsang
Selina Tsang is the wife of former Hong Kong Chief Executive Donald Tsang and a public figure known primarily for her role as his spouse in Hong Kong’s political and social circles.
-
D.
Regina Leung
Regina Leung is a Hong Kong public figure best known as the wife of former Chief Executive Leung Chun-ying and for her involvement in charitable and community activities.
-
E.
Selina Lo
Selina Lo is an actress and martial artist known for her roles in action and fantasy films.
- 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.