Triple
T21799052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classics |
E538183
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kennedy
Kennedy is a scholar associated with the field of Classics, likely known for significant contributions to classical studies or literature.
|
E1501942
|
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: Kennedy | Statement: [Classics, hasPart, Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kennedy Context triple: [Classics, hasPart, Kennedy]
-
A.
Kennedy
Kennedy is a given name shared by various notable individuals across fields such as politics, music, and entertainment.
-
B.
Kennedy
Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
-
C.
Kennedy
Kennedy is a vast rural federal electoral division in Queensland, Australia, known for encompassing remote outback communities and mining towns.
-
D.
JFK
JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
-
E.
JFK
JFK is a 1991 political thriller film directed by Oliver Stone that explores the conspiracy theories surrounding the assassination of U.S. President John F. Kennedy.
- 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: Kennedy Triple: [Classics, hasPart, Kennedy]
Generated description
Kennedy is a scholar associated with the field of Classics, likely known for significant contributions to classical studies or literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kennedy Target entity description: Kennedy is a scholar associated with the field of Classics, likely known for significant contributions to classical studies or literature.
-
A.
Kennedy
Kennedy is a prominent Irish-American political and public-service family best known for producing U.S. President John F. Kennedy and numerous other influential politicians.
-
B.
Kennedy
Kennedy is a given name shared by various notable individuals across fields such as politics, music, and entertainment.
-
C.
Kennedy
Kennedy is a vast rural federal electoral division in Queensland, Australia, known for encompassing remote outback communities and mining towns.
-
D.
JFK
JFK is John F. Kennedy International Airport, a major international air travel hub serving New York City.
-
E.
JFK
JFK is a 1991 political thriller film directed by Oliver Stone that explores the conspiracy theories surrounding the assassination of U.S. President John F. Kennedy.
- F. None of above. chosen
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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fd59048190ae4e50f4aee919e7 |
completed | April 28, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e802e6c8190b14f0b8765dba15b |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f5813a081909f253f04ca218559 |
completed | May 17, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a400831d881909631e1accd5618f1 |
completed | May 17, 2026, 10:24 p.m. |
Created at: April 16, 2026, 6:53 p.m.