Triple
T15312217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsoon |
E366064
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Benjamin Kracun |
E993017
|
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: Benjamin Kracun | Statement: [Monsoon, cinematographyBy, Benjamin Kracun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Kracun Context triple: [Monsoon, cinematographyBy, Benjamin Kracun]
-
A.
Benjamin Kracun
chosen
Benjamin Kracun is a cinematographer known for his work on feature films such as the British drama "For Those in Peril."
-
B.
Adam Riegler
Adam Riegler is an American stage actor best known for originating the role of Pugsley Addams in the Broadway musical adaptation of The Addams Family.
-
C.
Joshua Kutryk
Joshua Kutryk is a Canadian test pilot and astronaut selected by the Canadian Space Agency as part of a new generation of space explorers.
-
D.
Ryan Vojtesak
Ryan Vojtesak is a songwriter and producer known for co-writing major pop and R&B hits for artists such as Khalid and Normani.
-
E.
Nathaniel Buzolic
Nathaniel Buzolic is an Australian actor best known for his roles in television series such as "The Vampire Diaries" and "The Originals," as well as appearances in various film and TV projects.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe60d4a08190833397c75b56932c |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 3:16 a.m.