Triple
T14009967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up in Central Park |
E337051
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
John Kennedy
John Kennedy is a film director known for his work on the movie "Up in Central Park."
|
E1073869
|
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: John Kennedy | Statement: [Up in Central Park, director, John Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Kennedy Context triple: [Up in Central Park, director, John Kennedy]
-
A.
John F. Kennedy
John F. Kennedy was the 35th president of the United States, known for his leadership during the Cold War, the Cuban Missile Crisis, and the early stages of the civil rights movement before his assassination in 1963.
-
B.
Presidente Kennedy
Presidente Kennedy is a small coastal municipality in the Brazilian state of Espírito Santo, known for its beaches and growing oil and gas-related economic activities.
-
C.
John Fitzgerald
John Fitzgerald is a historical frontiersman and fur trapper best known for abandoning the grievously injured Hugh Glass during an 1823 expedition, an event later popularized in books and films such as "The Revenant."
-
D.
John Fitzgerald
John Fitzgerald is the founder of the global financial services firm Cantor Fitzgerald.
-
E.
RJFK
RJFK is the ICAO airport code for Kagoshima Airport, a regional and domestic aviation hub on Japan’s Kyushu island.
- 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: John Kennedy Triple: [Up in Central Park, director, John Kennedy]
Generated description
John Kennedy is a film director known for his work on the movie "Up in Central Park."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Kennedy Target entity description: John Kennedy is a film director known for his work on the movie "Up in Central Park."
-
A.
John F. Kennedy
John F. Kennedy was the 35th president of the United States, known for his leadership during the Cold War, the Cuban Missile Crisis, and the early stages of the civil rights movement before his assassination in 1963.
-
B.
Presidente Kennedy
Presidente Kennedy is a small coastal municipality in the Brazilian state of Espírito Santo, known for its beaches and growing oil and gas-related economic activities.
-
C.
John Fitzgerald
John Fitzgerald is a historical frontiersman and fur trapper best known for abandoning the grievously injured Hugh Glass during an 1823 expedition, an event later popularized in books and films such as "The Revenant."
-
D.
John Fitzgerald
John Fitzgerald is the founder of the global financial services firm Cantor Fitzgerald.
-
E.
RJFK
RJFK is the ICAO airport code for Kagoshima Airport, a regional and domestic aviation hub on Japan’s Kyushu island.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca7bbd88190a377d3b74f3d6224 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae6691b48190a0affc662cbb2d4e |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf702c94819095347e2599ae9931 |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 9, 2026, 10:19 p.m.