Triple
T10823934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Boys |
E255445
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Jamie Kaler
Jamie Kaler is an American actor and comedian best known for playing Mike Callahan on the TBS sitcom "My Boys."
|
E888206
|
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: Jamie Kaler | Statement: [My Boys, hasCastMember, Jamie Kaler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Kaler Context triple: [My Boys, hasCastMember, Jamie Kaler]
-
A.
David Krumholtz
David Krumholtz is an American actor best known for his roles in films like "The Santa Clause" series and the television drama "Numb3rs."
-
B.
Katherine Cannon
Katherine Cannon is an American actress best known for her work in television series and films from the 1970s and 1980s.
-
C.
Rebecca Kranz
Rebecca Kranz is known as the spouse of American industrialist and philanthropist Henry Crown.
-
D.
David Vonderhaar
David Vonderhaar is a video game designer best known as a leading multiplayer and design director on the Call of Duty: Black Ops series.
-
E.
Nathan Tyson
Nathan Tyson is an English professional footballer known as a pacey forward who has played for numerous clubs in the English Football League.
- 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: Jamie Kaler Triple: [My Boys, hasCastMember, Jamie Kaler]
Generated description
Jamie Kaler is an American actor and comedian best known for playing Mike Callahan on the TBS sitcom "My Boys."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jamie Kaler Target entity description: Jamie Kaler is an American actor and comedian best known for playing Mike Callahan on the TBS sitcom "My Boys."
-
A.
David Krumholtz
David Krumholtz is an American actor best known for his roles in films like "The Santa Clause" series and the television drama "Numb3rs."
-
B.
Katherine Cannon
Katherine Cannon is an American actress best known for her work in television series and films from the 1970s and 1980s.
-
C.
Rebecca Kranz
Rebecca Kranz is known as the spouse of American industrialist and philanthropist Henry Crown.
-
D.
David Vonderhaar
David Vonderhaar is a video game designer best known as a leading multiplayer and design director on the Call of Duty: Black Ops series.
-
E.
Nathan Tyson
Nathan Tyson is an English professional footballer known as a pacey forward who has played for numerous clubs in the English Football League.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734cf7918819094d36ea208c80d12 |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8578428c8190a25d9008881d0114 |
completed | April 14, 2026, 6:20 p.m. |
| NEDg | Description generation | batch_69de8e6f3fac8190bcd1675978d6d6d7 |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8fa679cc81909cb51035e5403ce9 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 8, 2026, 9:19 p.m.