Triple
T17247716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Duke |
E418669
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Mike Eley |
E355720
|
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: Mike Eley | Statement: [The Duke, cinematographyBy, Mike Eley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Eley Context triple: [The Duke, cinematographyBy, Mike Eley]
-
A.
Mike Eley
chosen
Mike Eley is a British cinematographer known for his work on acclaimed films and television dramas.
-
B.
Neil Ellice
Neil Ellice is a Scottish actor best known in gaming for portraying Sergeant "Soap" MacTavish in the Call of Duty: Modern Warfare series.
-
C.
Chris Wetherell
Chris Wetherell is an American software engineer and musician best known as a former Google developer who helped create Google Reader and later played in the indie rock band Rogue Wave.
-
D.
Darren Eales
Darren Eales is a British football executive known for serving as president of Major League Soccer club Atlanta United FC, where he helped build the expansion team into a successful franchise.
-
E.
Michael Wetherall
Michael Wetherall is a central character in John Stephens' fantasy series "The Books of Beginning," playing a key role in the magical adventures that drive the story.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e24a4508190bbcc70c36b2b9c13 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180cc1da88190b91cbcd3565528fc |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:39 a.m.