Triple
T14496497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Württemberg-Winnental |
E359512
|
entity |
| Predicate | usesTitle |
P10405
|
FINISHED |
| Object |
Duke
Duke is a hereditary noble title traditionally ranking below a monarch and above other aristocratic ranks in many European peerage systems.
|
E30157
|
NE FINISHED |
How this triple was built (4 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: [Württemberg-Winnental, usesTitle, Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Context triple: [Württemberg-Winnental, usesTitle, 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 central G.I. Joe team leader portrayed by Channing Tatum in the action film "G.I. Joe: Retaliation."
-
C.
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."
-
D.
Duke
Duke is the famous nickname of American actor John Wayne, a legendary Hollywood star known for his roles in Westerns and war films.
-
E.
Duke
Duke is the elderly man in "The Notebook" who narrates the love story from a nursing home, later revealed to be an older Noah reading their shared history to Allie.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Duke Triple: [Württemberg-Winnental, usesTitle, Duke]
Generated description
Duke is a hereditary noble title traditionally ranking below a monarch and above other aristocratic ranks in many European peerage systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duke Target entity description: Duke is a hereditary noble title traditionally ranking below a monarch and above other aristocratic ranks in many European peerage systems.
-
A.
Duke
chosen
A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
-
B.
Duke
Duke is a prominent American family name most famously associated with the wealthy industrialist and philanthropic Duke family of North Carolina.
-
C.
Duke
Duke is a surname most prominently associated with David Duke, an American white supremacist and former Ku Klux Klan leader.
-
D.
Duke
Duke is a fictional nobleman in Miguel de Cervantes’ "Don Quixote" who, along with a duchess, orchestrates elaborate pranks on Don Quixote and Sancho Panza, including Sancho’s mock governorship of the Ínsula Barataria.
-
E.
Duke
Duke is a prominent clan of the Efik people, historically influential in their social and political organization in southeastern Nigeria.
- F. None of above.
Provenance (5 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f80e3a081908c43915275898852 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7016a3c48190a1ea2fefeea92c60 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.