Triple
T20226183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emprise |
E495385
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Michael Kube-McDowell |
—
|
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: Michael Kube-McDowell | Statement: [Emprise, author, Michael Kube-McDowell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kube-McDowell Context triple: [Emprise, author, Michael Kube-McDowell]
-
A.
Michael Kube-McDowell
chosen
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
B.
Kyle Moorman
Kyle Moorman is a music producer known for his work on the album "Hurts 2B Human."
-
C.
Jarin Blaschke
Jarin Blaschke is an American cinematographer best known for his stark, atmospheric black-and-white work on films like "The Lighthouse."
-
D.
Adin McDowell
Adin McDowell was an early settler and prominent local figure in Modoc County, California, after whom the community of Adin was named.
-
E.
Matt Durning
Matt Durning is a character from the television series "Beverly Hills, 90210," known as one of Kelly Taylor’s later love interests and a lawyer dealing with personal and professional struggles.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd9c1f4819092a98f5fa84fb795 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.