Triple
T15435947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. John Becker |
E369761
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object |
Jake Malinak
Jake Malinak is a character in the TV sitcom "Becker," known as the blind, sarcastic newsstand operator and friend of Dr. John Becker.
|
E1188199
|
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: Jake Malinak | Statement: [Dr. John Becker, hasFriend, Jake Malinak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Malinak Context triple: [Dr. John Becker, hasFriend, Jake Malinak]
-
A.
Benjamin Kracun
Benjamin Kracun is a cinematographer known for his work on feature films such as the British drama "For Those in Peril."
-
B.
Joe Adamik
Joe Adamik is an American multi-instrumentalist and drummer best known for his work in indie and experimental music, including a stint with the band Dirty Projectors.
-
C.
Josh Kramon
Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
-
D.
Kris Marszalek
Kris Marszalek is a Polish entrepreneur best known as the co-founder and CEO of the cryptocurrency exchange and financial services platform Crypto.com.
-
E.
Ryan Vojtesak
Ryan Vojtesak is a songwriter and producer known for co-writing major pop and R&B hits for artists such as Khalid and Normani.
- 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: Jake Malinak Triple: [Dr. John Becker, hasFriend, Jake Malinak]
Generated description
Jake Malinak is a character in the TV sitcom "Becker," known as the blind, sarcastic newsstand operator and friend of Dr. John Becker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Malinak Target entity description: Jake Malinak is a character in the TV sitcom "Becker," known as the blind, sarcastic newsstand operator and friend of Dr. John Becker.
-
A.
Benjamin Kracun
Benjamin Kracun is a cinematographer known for his work on feature films such as the British drama "For Those in Peril."
-
B.
Joe Adamik
Joe Adamik is an American multi-instrumentalist and drummer best known for his work in indie and experimental music, including a stint with the band Dirty Projectors.
-
C.
Josh Kramon
Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
-
D.
Kris Marszalek
Kris Marszalek is a Polish entrepreneur best known as the co-founder and CEO of the cryptocurrency exchange and financial services platform Crypto.com.
-
E.
Ryan Vojtesak
Ryan Vojtesak is a songwriter and producer known for co-writing major pop and R&B hits for artists such as Khalid and Normani.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b205dc81908c4194a931d94074 |
completed | May 9, 2026, 11:30 p.m. |
| NEDg | Description generation | batch_69ffc4ba0a988190b1d93ce6479bac88 |
completed | May 9, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5902904819097a2c5efbde55882 |
completed | May 9, 2026, 11:38 p.m. |
Created at: April 10, 2026, 3:21 a.m.