Triple
T11049430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Street |
E261207
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Gersh
Gersh is a film and television producer associated with projects from the production company Green Street.
|
E901262
|
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: Gersh | Statement: [Green Street, producer, Gersh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gersh Context triple: [Green Street, producer, Gersh]
-
A.
Gershwine
Gershwine is the family name of the American composer and pianist Jacob Bruskin Gershwine, better known as George Gershwin.
-
B.
Gershon
Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
-
C.
Gershon
Gershon is a biblical figure traditionally regarded as one of the sons of Levi and an ancestor of the Gershonite clan of Levites.
-
D.
Jacob Bruskin Gershwine
Jacob Bruskin Gershwine is the birth name of George Gershwin, the renowned American composer and pianist known for blending classical music with jazz and popular styles.
-
E.
Gershon Kekst
Gershon Kekst was a prominent American businessman and philanthropist known for his leadership in corporate communications and his significant support of Jewish and higher education institutions.
- 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: Gersh Triple: [Green Street, producer, Gersh]
Generated description
Gersh is a film and television producer associated with projects from the production company Green Street.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gersh Target entity description: Gersh is a film and television producer associated with projects from the production company Green Street.
-
A.
Gershwine
Gershwine is the family name of the American composer and pianist Jacob Bruskin Gershwine, better known as George Gershwin.
-
B.
Gershon
Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
-
C.
Gershon
Gershon is a biblical figure traditionally regarded as one of the sons of Levi and an ancestor of the Gershonite clan of Levites.
-
D.
Jacob Bruskin Gershwine
Jacob Bruskin Gershwine is the birth name of George Gershwin, the renowned American composer and pianist known for blending classical music with jazz and popular styles.
-
E.
Gershon Kekst
Gershon Kekst was a prominent American businessman and philanthropist known for his leadership in corporate communications and his significant support of Jewish and higher education institutions.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa06bae08190a0db615a258ded29 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3ad0379888190b2f56d36d79bf97d |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b206c7a4819087eb06faa6e1af21 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.