Triple
T20517812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moontrap |
E503725
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robert Dyke |
—
|
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: Robert Dyke | Statement: [Moontrap, producer, Robert Dyke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Dyke Context triple: [Moontrap, producer, Robert Dyke]
-
A.
Robert Dyke
chosen
Robert Dyke is a film director best known for helming the 1989 science fiction horror movie "Moontrap."
-
B.
Ray Deakin
Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
-
C.
Dudley Nichols
Dudley Nichols was an American screenwriter and director best known for his prolific work in Hollywood’s Golden Age, including his Academy Award-winning script for "The Informer."
-
D.
Humphrey Davies
Humphrey Davies was a distinguished British translator renowned for bringing modern and classical Arabic literature to English-speaking audiences.
-
E.
Clive Brook
Clive Brook was a British film actor best known as a suave leading man in early Hollywood and British cinema during the 1920s and 1930s.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.