Triple
T18378184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue Max |
E446370
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jeremy Kemp |
—
|
NE NERFINISHED |
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: Jeremy Kemp | Statement: [The Blue Max, castMember, Jeremy Kemp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Kemp Context triple: [The Blue Max, castMember, Jeremy Kemp]
-
A.
Jeremy Kemp
chosen
Jeremy Kemp was a British character actor known for his roles in films such as "The Blue Max," "A Bridge Too Far," and numerous television dramas.
-
B.
Tim O’Heir
Tim O’Heir is an American sound designer and music producer known for his work on Broadway and in alternative rock, including the revival of "Hedwig and the Angry Inch."
-
C.
Andrew DeRoberts
Andrew DeRoberts is a music producer and songwriter known for his work in contemporary country music.
-
D.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
E.
Will Knaak
Will Knaak is an American guitarist and songwriter best known as a member of the alternative rock band Blue October.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.