Triple
T7915708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Greenberg |
E183820
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Greenberg
Greenberg is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as law, arts, politics, and academia.
|
E696903
|
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: Greenberg | Statement: [Jack Greenberg, familyName, Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenberg Context triple: [Jack Greenberg, familyName, Greenberg]
-
A.
Greenberg
Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
-
B.
Marc Greenberg
Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
-
C.
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.
-
D.
Goodwin
Goodwin is a masculine given name most notably borne by Goodwin Knight, who served as the 31st governor of California in the mid-20th century.
-
E.
Goodwin
Goodwin is the surname of American actress Ginnifer Goodwin, known for her roles in "Once Upon a Time" and "Big Love."
- 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: Greenberg Triple: [Jack Greenberg, familyName, Greenberg]
Generated description
Greenberg is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as law, arts, politics, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greenberg Target entity description: Greenberg is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as law, arts, politics, and academia.
-
A.
Greenberg
Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
-
B.
Marc Greenberg
Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
-
C.
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.
-
D.
Goodwin
Goodwin is the surname of American actress Ginnifer Goodwin, known for her roles in "Once Upon a Time" and "Big Love."
-
E.
Goodwin
Goodwin is a masculine given name most notably borne by Goodwin Knight, who served as the 31st governor of California in the mid-20th century.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a76ae688190b068e4c92603a16d |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5be54fdc81909a988114a6f30a13 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f20eb3c81909e059d5a02263aa2 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76bb9a308190a9d7b34838d696db |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:05 p.m.