Triple
T15297214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comeback |
E365690
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Dan Bucatinsky
Dan Bucatinsky is an American actor, writer, and producer best known for his Emmy-winning role on "Scandal" and his work in television comedy and drama.
|
E1312247
|
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: Dan Bucatinsky | Statement: [The Comeback, castMember, Dan Bucatinsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Bucatinsky Context triple: [The Comeback, castMember, Dan Bucatinsky]
-
A.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
B.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
C.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
D.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
E.
Josh Baskin
Josh Baskin is the young boy who magically becomes an adult overnight and navigates the adult world with childlike innocence in the film "Big."
- 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: Dan Bucatinsky Triple: [The Comeback, castMember, Dan Bucatinsky]
Generated description
Dan Bucatinsky is an American actor, writer, and producer best known for his Emmy-winning role on "Scandal" and his work in television comedy and drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Bucatinsky Target entity description: Dan Bucatinsky is an American actor, writer, and producer best known for his Emmy-winning role on "Scandal" and his work in television comedy and drama.
-
A.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
B.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
C.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
D.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
E.
Josh Baskin
Josh Baskin is the young boy who magically becomes an adult overnight and navigates the adult world with childlike innocence in the film "Big."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03686bfb8819080ba0caae652170a |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039ef5147081908c7cfce314e120b1 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fb57d608190a0310a4e2c83852a |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a07a59f88190a7ddd5b612d1575a |
completed | May 12, 2026, 9:49 p.m. |
Created at: April 10, 2026, 3:15 a.m.