Triple
T14276277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borusa |
E353923
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Leonard Sachs
Leonard Sachs was a South African-born British actor best known for hosting the BBC television variety show "The Good Old Days" and for his character roles in film and television.
|
E1298302
|
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: Leonard Sachs | Statement: [Borusa, portrayedBy, Leonard Sachs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonard Sachs Context triple: [Borusa, portrayedBy, Leonard Sachs]
-
A.
Frank Sachs
Frank Sachs is a minor supporting character in the 1997 romantic comedy-drama film "As Good as It Gets."
-
B.
Leonard Stein
Leonard Stein was a British lawyer, Zionist leader, and historian best known for his authoritative work on the Balfour Declaration.
-
C.
John Altschuler
John Altschuler is an American television writer and producer best known for co-creating and producing the animated series "King of the Hill" and "Silicon Valley."
-
D.
Harold Lieberman
Harold Lieberman is a musician known for performing on Miles Davis’s landmark jazz album "Sketches of Spain."
-
E.
Louis Ginsberg
Louis Ginsberg was an American high school teacher and poet, best known as the father of Beat Generation poet Allen Ginsberg.
- 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: Leonard Sachs Triple: [Borusa, portrayedBy, Leonard Sachs]
Generated description
Leonard Sachs was a South African-born British actor best known for hosting the BBC television variety show "The Good Old Days" and for his character roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leonard Sachs Target entity description: Leonard Sachs was a South African-born British actor best known for hosting the BBC television variety show "The Good Old Days" and for his character roles in film and television.
-
A.
Frank Sachs
Frank Sachs is a minor supporting character in the 1997 romantic comedy-drama film "As Good as It Gets."
-
B.
Leonard Stein
Leonard Stein was a British lawyer, Zionist leader, and historian best known for his authoritative work on the Balfour Declaration.
-
C.
John Altschuler
John Altschuler is an American television writer and producer best known for co-creating and producing the animated series "King of the Hill" and "Silicon Valley."
-
D.
Harold Lieberman
Harold Lieberman is a musician known for performing on Miles Davis’s landmark jazz album "Sketches of Spain."
-
E.
Louis Ginsberg
Louis Ginsberg was an American high school teacher and poet, best known as the father of Beat Generation poet Allen Ginsberg.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0328fa616c8190a682e7516e8ecbb9 |
completed | May 12, 2026, 1:19 p.m. |
| NEDg | Description generation | batch_6a032b2e82bc81909ae01849715745a8 |
completed | May 12, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032caa8c688190ac7a730bf855bde4 |
completed | May 12, 2026, 1:35 p.m. |
Created at: April 10, 2026, 1:10 a.m.