Triple
T10301930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Flemyng |
E241651
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Primeval |
E659679
|
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: Primeval | Statement: [Jason Flemyng, notableWork, Primeval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Primeval Context triple: [Jason Flemyng, notableWork, Primeval]
-
A.
Primeval
chosen
Primeval is a 2007 horror-thriller film loosely inspired by the real-life African crocodile Gustave, known for its blend of creature-feature terror and crime drama elements.
-
B.
Primeval and Other Times
Primeval and Other Times is a celebrated novel by Polish Nobel laureate Olga Tokarczuk that portrays the mystical, cyclical life of a fictional village across the turbulent 20th century.
-
C.
Primeval Man
Primeval Man is a 19th-century work by George Campbell, 8th Duke of Argyll, exploring human origins and early human history from a philosophical and theological perspective.
-
D.
Primeval Whirl
Primeval Whirl was a spinning wild-mouse style roller coaster in Disney's Animal Kingdom themed to time travel and dinosaurs.
-
E.
City Primeval
City Primeval is a crime novel by Elmore Leonard, known for its gritty depiction of Detroit and its sharp, character-driven dialogue.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30716d8819085e25a78e6af3b9d |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d47049c81909b60058c36042f71 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:45 a.m.