Triple
T12364339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Barone |
E294821
|
entity |
| Predicate | closeFriend |
P8712
|
FINISHED |
| Object |
Kevin
Kevin is a character from the sitcom "Everybody Loves Raymond," known as one of Ray Barone’s laid-back, humorous friends.
|
E982143
|
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: Kevin | Statement: [Ray Barone, closeFriend, Kevin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Context triple: [Ray Barone, closeFriend, Kevin]
-
A.
Kevin
Kevin is the large, colorful, flightless tropical bird from Pixar's animated film "Up," known for her quirky behavior and bond with Carl and Russell.
-
B.
Kevin
Kevin is the given name of Kevin Garnett, a Hall of Fame American professional basketball player known for his intensity, versatility, and NBA championship with the Boston Celtics.
-
C.
Kevin
Kevin is a character in the play "Clybourne Park," serving as one of the contemporary residents whose interactions highlight ongoing racial and social tensions in the gentrifying neighborhood.
-
D.
Kevin
Kevin is the given first name of American actor and former professional athlete Chuck Connors.
-
E.
Kevin
Kevin Jorgeson is an American rock climber best known for co-leading the first free ascent of Yosemite’s Dawn Wall.
- 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: Kevin Triple: [Ray Barone, closeFriend, Kevin]
Generated description
Kevin is a character from the sitcom "Everybody Loves Raymond," known as one of Ray Barone’s laid-back, humorous friends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Target entity description: Kevin is a character from the sitcom "Everybody Loves Raymond," known as one of Ray Barone’s laid-back, humorous friends.
-
A.
Kevin
Kevin is a recurring character in the animated series "Ed, Edd n Eddy," known as the neighborhood jock and frequent antagonist to the Eds.
-
B.
Kevin
Kevin is the large, colorful, flightless tropical bird from Pixar's animated film "Up," known for her quirky behavior and bond with Carl and Russell.
-
C.
Kevin
Kevin is a character in the play "Clybourne Park," serving as one of the contemporary residents whose interactions highlight ongoing racial and social tensions in the gentrifying neighborhood.
-
D.
Kevin
Kevin is the given first name of American actor and former professional athlete Chuck Connors.
-
E.
Kevin
Kevin is the given name of Kevin Garnett, a Hall of Fame American professional basketball player known for his intensity, versatility, and NBA championship with the Boston Celtics.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634721e948190bb8e97ef677b9f59 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6386304c08190b629d51fd0abcefa |
completed | May 2, 2026, 5:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63900ea248190bf59c1123ea78372 |
completed | May 2, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.