Triple
T12794818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfield (2023 film) |
E305860
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Mitchell Amundsen |
E502083
|
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: Mitchell Amundsen | Statement: [Renfield (2023 film), cinematographyBy, Mitchell Amundsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell Amundsen Context triple: [Renfield (2023 film), cinematographyBy, Mitchell Amundsen]
-
A.
Mitchell Amundsen
chosen
Mitchell Amundsen is an American cinematographer known for his work on high-profile action and blockbuster films.
-
B.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
C.
Peter Amundson
Peter Amundson is a film editor best known for his work on movies such as the psychological thriller "The Butterfly Effect."
-
D.
Warren Skaaren
Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
-
E.
John Myhre
John Myhre is an Academy Award–winning American production designer and art director known for his work on major films such as "Chicago," "Memoirs of a Geisha," and "Dreamgirls."
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6ca0288190aba01735b71a01da |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.