Triple
T17024354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project A |
E413024
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Hark Tsui |
E544101
|
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: Hark Tsui | Statement: [Project A, stars, Hark Tsui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hark Tsui Context triple: [Project A, stars, Hark Tsui]
-
A.
Chow Cheung-fai
Chow Cheung-fai is a Hong Kong figure known primarily as an alumnus of the prestigious Queen's College secondary school.
-
B.
Kar Wai Wong
Kar Wai Wong is an acclaimed Hong Kong filmmaker known for his visually poetic, emotionally resonant films such as "In the Mood for Love" and "Chungking Express."
-
C.
Lok Fu
Lok Fu is a residential neighborhood and transport hub in Hong Kong known for its public housing estates, shopping centre, and MTR station.
-
D.
Lee Ka Lau
Lee Ka Lau is a Canadian entrepreneur and engineer best known as a co-founder of the graphics chip company ATI Technologies.
-
E.
Tsui Hark
chosen
Tsui Hark is a pioneering Hong Kong filmmaker renowned for revolutionizing the action and wuxia genres with his visually inventive, high-energy directing style.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ef70208190b26029511e91afb0 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.