Triple
T4983670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry |
E111949
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Sarah Goldberg
Sarah Goldberg is a Canadian actress best known for her acclaimed role as aspiring actress Sally Reed on the dark comedy television series "Barry."
|
E484132
|
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: Sarah Goldberg | Statement: [Barry, starring, Sarah Goldberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Goldberg Context triple: [Barry, starring, Sarah Goldberg]
-
A.
Myla Goldberg
Myla Goldberg is an American novelist best known for her critically acclaimed debut "Bee Season," which explores family, faith, and identity.
-
B.
Leah Goldberg
Leah Goldberg was a prominent Israeli poet, author, translator, and literary scholar, regarded as one of the central figures of modern Hebrew literature.
-
C.
Suzanne Goldberg
Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
-
D.
Suzanne Goldberg
Suzanne Goldberg is known as the wife of prominent 1960s Free Speech Movement leader Mario Savio.
-
E.
Ann Goldstein
Ann Goldstein is an American literary translator best known for bringing Elena Ferrante’s Neapolitan novels and other major works of Italian literature into English.
- 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: Sarah Goldberg Triple: [Barry, starring, Sarah Goldberg]
Generated description
Sarah Goldberg is a Canadian actress best known for her acclaimed role as aspiring actress Sally Reed on the dark comedy television series "Barry."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Goldberg Target entity description: Sarah Goldberg is a Canadian actress best known for her acclaimed role as aspiring actress Sally Reed on the dark comedy television series "Barry."
-
A.
Myla Goldberg
Myla Goldberg is an American novelist best known for her critically acclaimed debut "Bee Season," which explores family, faith, and identity.
-
B.
Leah Goldberg
Leah Goldberg was a prominent Israeli poet, author, translator, and literary scholar, regarded as one of the central figures of modern Hebrew literature.
-
C.
Suzanne Goldberg
Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
-
D.
Suzanne Goldberg
Suzanne Goldberg is known as the wife of prominent 1960s Free Speech Movement leader Mario Savio.
-
E.
Ann Goldstein
Ann Goldstein is an American literary translator best known for bringing Elena Ferrante’s Neapolitan novels and other major works of Italian literature into English.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7255d7b4819098b537df5b1a4c3c |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a1891c48190b85bec5e97f75e44 |
completed | March 21, 2026, 12:07 p.m. |
| NEDg | Description generation | batch_69be8afcf5f0819094fd6351a8f377cc |
completed | March 21, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b80af18819091efdfe242b7b477 |
completed | March 21, 2026, 12:13 p.m. |
Created at: March 20, 2026, 1:33 p.m.