Triple
T17025996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winners and Sinners |
E413064
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Shum |
E1246442
|
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: John Shum | Statement: [Winners and Sinners, starring, John Shum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Shum Context triple: [Winners and Sinners, starring, John Shum]
-
A.
John Shum
chosen
John Shum is a Hong Kong actor and comedian known for his roles in 1980s action and comedy films.
-
B.
John Shinn
John Shinn was the founder of the Academy of Natural Sciences of Drexel University, one of the oldest natural history institutions in the United States.
-
C.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
D.
Michael Colleary
Michael Colleary is an American screenwriter and producer best known for co-writing the action film "Face/Off" and working on various Hollywood genre movies and television projects.
-
E.
John Tormey
John Tormey is an American character actor best known for his supporting role in Jim Jarmusch’s crime film "Ghost Dog: The Way of the Samurai."
- 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_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.