Triple
T5970720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doris Duke |
E132864
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Duke
Duke is a noble hereditary title traditionally associated with high-ranking aristocracy, often just below the rank of monarch in 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: [Doris Duke, familyName, Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Context triple: [Doris Duke, familyName, Duke]
-
A.
Duke
Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
-
B.
Duke
Duke is a prominent clan of the Efik people, historically influential in their social and political organization in southeastern Nigeria.
-
C.
Duke
Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
-
D.
Duke
Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
-
E.
Duke
Duke is a central G.I. Joe team leader portrayed by Channing Tatum in the action film "G.I. Joe: Retaliation."
- 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: [Doris Duke, familyName, Duke]
Generated description
Duke is a noble hereditary title traditionally associated with high-ranking aristocracy, often just below the rank of monarch in European peerage systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duke Target entity description: Duke is a noble hereditary title traditionally associated with high-ranking aristocracy, often just below the rank of monarch in 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 clan of the Efik people, historically influential in their social and political organization in southeastern Nigeria.
-
C.
Duke
Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
-
D.
Duke
Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
-
E.
Duke
Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a4263e8819084e98e6c016c9532 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108422220819092ac63e5ebb264b4 |
completed | March 23, 2026, 9:30 a.m. |
| NEDg | Description generation | batch_69c10b5816548190b73f19e12cdf8e03 |
completed | March 23, 2026, 9:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10c39fb848190a557278d3cd23560 |
completed | March 23, 2026, 9:47 a.m. |
Created at: March 22, 2026, 4:03 p.m.