Triple
T995288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Scheider |
E21481
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
|
E232695
|
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: Cynthia Scheider | Statement: [Roy Scheider, spouse, Cynthia Scheider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia Scheider Context triple: [Roy Scheider, spouse, Cynthia Scheider]
-
A.
Joanne Schieble
Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
-
B.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
-
C.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Barbara Pewterschmidt
Barbara Pewterschmidt is Lois Griffin’s wealthy, snobbish mother and Stewie Griffin’s maternal grandmother in the animated series "Family Guy."
- 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: Cynthia Scheider Triple: [Roy Scheider, spouse, Cynthia Scheider]
Generated description
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cynthia Scheider Target entity description: Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
-
A.
Joanne Schieble
Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
-
B.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
-
C.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Barbara Pewterschmidt
Barbara Pewterschmidt is Lois Griffin’s wealthy, snobbish mother and Stewie Griffin’s maternal grandmother in the animated series "Family Guy."
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26ce527c8190988fd9a97ad06895 |
completed | March 9, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_69ae2763b4b08190b733e8342a52f75e |
completed | March 9, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae27d10bf08190a14fa1ca906646f8 |
completed | March 9, 2026, 1:52 a.m. |
Created at: March 1, 2026, 7:41 p.m.