Triple
T5752747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenberg |
E126889
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object |
Roger Greenberg
Roger Greenberg is the neurotic, self-absorbed protagonist of the 2010 Noah Baumbach film "Greenberg," portrayed by Ben Stiller.
|
E572809
|
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: Roger Greenberg | Statement: [Greenberg, hasTitleCharacter, Roger Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Greenberg Context triple: [Greenberg, hasTitleCharacter, Roger Greenberg]
-
A.
Jerry Greenberg
Jerry Greenberg was an American film editor best known for his Academy Award–winning work on "The French Connection" and his influential editing on numerous major Hollywood films.
-
B.
Everett Greenbaum
Everett Greenbaum was an American television and film writer best known for his work on classic sitcoms such as "The Andy Griffith Show" and "M*A*S*H."
-
C.
Dan Greenburg
Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
-
D.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
E.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
- 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: Roger Greenberg Triple: [Greenberg, hasTitleCharacter, Roger Greenberg]
Generated description
Roger Greenberg is the neurotic, self-absorbed protagonist of the 2010 Noah Baumbach film "Greenberg," portrayed by Ben Stiller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Greenberg Target entity description: Roger Greenberg is the neurotic, self-absorbed protagonist of the 2010 Noah Baumbach film "Greenberg," portrayed by Ben Stiller.
-
A.
Jerry Greenberg
Jerry Greenberg was an American film editor best known for his Academy Award–winning work on "The French Connection" and his influential editing on numerous major Hollywood films.
-
B.
Everett Greenbaum
Everett Greenbaum was an American television and film writer best known for his work on classic sitcoms such as "The Andy Griffith Show" and "M*A*S*H."
-
C.
Dan Greenburg
Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
-
D.
Guy Rothblum
Guy Rothblum is a theoretical computer scientist known for his work in cryptography and complexity theory.
-
E.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1411fbd448190be3c3b6a5942ef83 |
completed | March 23, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69c14626cab4819092843ff0ea83a6f1 |
completed | March 23, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146d749dc8190b59f6e0001b5729d |
completed | March 23, 2026, 1:57 p.m. |
Created at: March 22, 2026, 3:48 p.m.