Triple
T7906064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welcome to Marwen |
E183577
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | C. Kim Miles |
E183577
|
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: C. Kim Miles | Statement: [Welcome to Marwen, cinematographyBy, C. Kim Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C. Kim Miles Context triple: [Welcome to Marwen, cinematographyBy, C. Kim Miles]
-
A.
C. Kim Miles
chosen
C. Kim Miles is a cinematographer known for his work on feature films such as the fantasy-drama "Welcome to Marwen."
-
B.
Kate Miles
Kate Miles is an actress known for her role in the acclaimed British television drama "Longford."
-
C.
Tim Weiner
Tim Weiner is an American journalist and author best known for his Pulitzer Prize-winning reporting and his books on the history of U.S. intelligence agencies.
-
D.
Richard Mueller
Richard Mueller is a physicist and professor emeritus at the University of California, Berkeley, known for his work in astrophysics, geophysics, and climate science communication.
-
E.
Sandy Berger
Sandy Berger was an American political consultant and lawyer who served as U.S. National Security Advisor under President Bill Clinton.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a56c9f0819094dc87fe55a8823e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfe21f9081909d45565867ac7436 |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:03 p.m.