Triple
T8335998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther: The Fallen Sun |
E195786
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Ready |
E201575
|
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: David Ready | Statement: [Luther: The Fallen Sun, producer, David Ready]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Ready Context triple: [Luther: The Fallen Sun, producer, David Ready]
-
A.
David Ready
chosen
David Ready is a film producer known for his work on major studio projects, including the survival drama "The Mountain Between Us."
-
B.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
C.
Kent McCord
Kent McCord is an American actor best known for his role as Officer Jim Reed on the television series "Adam-12."
-
D.
Jon Oberheide
Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
-
E.
Dave Hoover
Dave Hoover is a software developer and author known for his work on agile practices and the book "Apprenticeship Patterns."
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd3fc80819097b326119107ad4d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95d9b92c8190b1eb0e64aa7ea59e |
completed | April 1, 2026, 10:02 p.m. |
Created at: March 30, 2026, 5:57 p.m.