Triple
T5693491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lust, Caution |
E125480
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bill Kong |
E539292
|
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: Bill Kong | Statement: [Lust, Caution, producer, Bill Kong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Kong Context triple: [Lust, Caution, producer, Bill Kong]
-
A.
William Kong
chosen
William Kong is a prominent Hong Kong film producer best known internationally for his work on acclaimed movies such as "Crouching Tiger, Hidden Dragon."
-
B.
Leslie Kong
Leslie Kong was a pioneering Jamaican record producer and label owner who played a key role in the development and international spread of ska, rocksteady, and early reggae music.
-
C.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
D.
Hancock Lee
Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
-
E.
Jimmy Woo
Jimmy Woo is a Marvel Comics and Marvel Cinematic Universe character, depicted as an earnest and by-the-book FBI agent who often becomes entangled in superhero-related investigations.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e7dbe48190850b501f223614e3 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dd76f008190970c3b17ec8cbfd8 |
completed | March 22, 2026, 11:40 p.m. |
Created at: March 22, 2026, 3:44 p.m.