Triple
T32174364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Vegas to Macau |
E821795
|
entity |
| Predicate | starsAsRole |
P5563
|
FINISHED |
| Object | Chow Yun-fat as Ken |
—
|
LITERAL 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: Chow Yun-fat as Ken | Statement: [From Vegas to Macau, starsAsRole, Chow Yun-fat as Ken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsAsRole Context triple: [From Vegas to Macau, starsAsRole, Chow Yun-fat as Ken]
-
A.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
B.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
-
C.
playedEarlyRoleIn
Indicates that one entity contributed significantly to the initial or formative stages of another entity’s development, success, or emergence.
-
D.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
-
E.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
- F. None of above.
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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba786b188190a59d6b96caa92213 |
completed | May 3, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:34 a.m.