Triple
T14167353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossing Delancey |
E351113
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Susan Sandler
Susan Sandler is an American playwright and screenwriter best known for writing the romantic comedy "Crossing Delancey."
|
E1158717
|
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: Susan Sandler | Statement: [Crossing Delancey, screenwriter, Susan Sandler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Sandler Context triple: [Crossing Delancey, screenwriter, Susan Sandler]
-
A.
Sandy Stern
Sandy Stern is a film producer best known for his work on independent and cult-favorite movies, including the 1990 teen drama "Pump Up the Volume."
-
B.
Debra L. Sandler
Debra L. Sandler is a business executive known for her leadership roles in the consumer goods and food industries, including senior positions at major multinational companies.
-
C.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
D.
Pamela Segall
Pamela Segall is an American actress and voice actress best known for voicing Bobby Hill on the animated television series "King of the Hill."
-
E.
Susan Hendler
Susan Hendler is a fictional character played by actress Caroline Goodall, likely appearing in a film or television production.
- 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: Susan Sandler Triple: [Crossing Delancey, screenwriter, Susan Sandler]
Generated description
Susan Sandler is an American playwright and screenwriter best known for writing the romantic comedy "Crossing Delancey."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Sandler Target entity description: Susan Sandler is an American playwright and screenwriter best known for writing the romantic comedy "Crossing Delancey."
-
A.
Sandy Stern
Sandy Stern is a film producer best known for his work on independent and cult-favorite movies, including the 1990 teen drama "Pump Up the Volume."
-
B.
Debra L. Sandler
Debra L. Sandler is a business executive known for her leadership roles in the consumer goods and food industries, including senior positions at major multinational companies.
-
C.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
D.
Pamela Segall
Pamela Segall is an American actress and voice actress best known for voicing Bobby Hill on the animated television series "King of the Hill."
-
E.
Susan Hendler
Susan Hendler is a fictional character played by actress Caroline Goodall, likely appearing in a film or television production.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce36ce08190930e791e2837d1a5 |
completed | May 9, 2026, 12:47 p.m. |
| NEDg | Description generation | batch_69ff2d8849048190b8bd558feceb21cb |
completed | May 9, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2eebae6481908cba15bff63e641d |
completed | May 9, 2026, 12:56 p.m. |
Created at: April 10, 2026, 1 a.m.