Triple
T13240556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Hours |
E315267
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Quyen Tran |
E116024
|
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: Quyen Tran | Statement: [The Little Hours, cinematographyBy, Quyen Tran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quyen Tran Context triple: [The Little Hours, cinematographyBy, Quyen Tran]
-
A.
Quyen Tran
chosen
Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
-
B.
Tung Thanh Tran
Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
-
C.
Xuan Truong
Xuan Truong is a township in Nam Định Province, Vietnam, serving as the administrative and economic center of Xuan Truong District.
-
D.
Oanh Nguyen
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
-
E.
Tran Ho
Tran Ho is a Vietnamese American physician best known as the wife of comedian and actor Ken Jeong, whose medical career and battle with breast cancer have been publicly discussed by her husband.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff3438888190b4aecb0b67153ed9 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:23 p.m.