Triple
T3692012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Butler |
E78363
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Andrew Dunn |
E89675
|
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: Andrew Dunn | Statement: [The Butler, cinematographyBy, Andrew Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Dunn Context triple: [The Butler, cinematographyBy, Andrew Dunn]
-
A.
Andrew Dunn
chosen
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
-
B.
Justin Dunn
Justin Dunn is an American professional baseball pitcher who played college baseball at Boston College before being selected in the first round of the 2016 MLB Draft.
-
C.
Kevin Dunn
Kevin Dunn is an American character actor known for his supporting roles in numerous films and television series, including the romantic comedy-drama "Vicky Cristina Barcelona."
-
D.
Sean Douglas
Sean Douglas is an American songwriter and record producer known for co-writing hit pop songs for artists such as Demi Lovato, Jason Derulo, and Thomas Rhett.
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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_69b65f1304b481909715c263a743581d |
completed | March 15, 2026, 7:26 a.m. |
Created at: March 8, 2026, 3:26 p.m.