Triple
T14585079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortimer Duke |
E342293
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Duke |
E1104815
|
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: Duke | Statement: [Mortimer Duke, familyName, Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Context triple: [Mortimer Duke, familyName, Duke]
-
A.
Duke
Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
-
B.
Duke
Duke is a large, shaggy brown rescue dog who becomes one of the central comedic protagonists in the animated film "The Secret Life of Pets."
-
C.
Duke
Duke is the famous nickname of American actor John Wayne, a legendary Hollywood star known for his roles in Westerns and war films.
-
D.
Duke
Duke is a narrow-gauge steam locomotive character from the Skarloey Railway in The Railway Series and Thomas & Friends franchise, known for his old-fashioned, strict yet caring personality.
-
E.
Duke
chosen
Duke is an English surname historically associated with nobility and high social rank.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4209b988190ad2a7b2dead8ffed |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94bbe6208190af9cd131c147e321 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.