Triple
T909658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Kennedy Jr. |
E19628
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
John-John
John-John is the childhood nickname of John F. Kennedy Jr., the son of U.S. President John F. Kennedy and First Lady Jacqueline Kennedy Onassis.
|
E107426
|
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-John | Statement: [John F. Kennedy Jr., nickname, John-John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John-John Context triple: [John F. Kennedy Jr., nickname, John-John]
-
A.
Jack
Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
-
B.
Jonah Bobo
Jonah Bobo is an American actor best known for his childhood roles in films like "Zathura: A Space Adventure" and for voicing the main character in the animated series "The Backyardigans."
-
C.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
-
D.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Joe
Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
- 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-John Triple: [John F. Kennedy Jr., nickname, John-John]
Generated description
John-John is the childhood nickname of John F. Kennedy Jr., the son of U.S. President John F. Kennedy and First Lady Jacqueline Kennedy Onassis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John-John Target entity description: John-John is the childhood nickname of John F. Kennedy Jr., the son of U.S. President John F. Kennedy and First Lady Jacqueline Kennedy Onassis.
-
A.
Jack
Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
-
B.
Jonah Bobo
Jonah Bobo is an American actor best known for his childhood roles in films like "Zathura: A Space Adventure" and for voicing the main character in the animated series "The Backyardigans."
-
C.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
-
D.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Joe
Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2dca5208190bc9f17cd9dd6a98f |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c73d5bdc8190828cdf9f54e33a46 |
completed | March 4, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_69a7c8c148708190bfdee5a55ab6d149 |
completed | March 4, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ca1e37f4819086cda13a446642e2 |
completed | March 4, 2026, 5:58 a.m. |
Created at: March 1, 2026, 7:39 p.m.