Triple
T3691916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sin City: A Dame to Kill For |
E78361
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jamie Chung |
E329995
|
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: Jamie Chung | Statement: [Sin City: A Dame to Kill For, stars, Jamie Chung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Chung Context triple: [Sin City: A Dame to Kill For, stars, Jamie Chung]
-
A.
Jamie Chung
chosen
Jamie Chung is an American actress and former reality television personality known for roles in films like "Sucker Punch," "The Hangover Part II," and the TV series "Once Upon a Time."
-
B.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
-
C.
Cheryl Song
Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
-
D.
Chipo Chung
Chipo Chung is a Zimbabwean-born British actress and activist known for her work in film, television, and theatre, including roles in productions such as "Doctor Who" and "A.D. The Bible Continues."
-
E.
Julia Cho
Julia Cho is an American playwright and screenwriter known for her work on stage and in film, including co-writing Pixar’s animated feature "Turning Red."
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3cd64c4819098f9f93a8d2efdf7 |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.