Triple
T11913427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley Stoler |
E283450
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stoler
Stoler is a surname most notably associated with American actress Shirley Stoler, known for her intense character roles in film and television.
|
E953137
|
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: Stoler | Statement: [Shirley Stoler, familyName, Stoler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stoler Context triple: [Shirley Stoler, familyName, Stoler]
-
A.
Stoll
Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
-
B.
Stoloff
Stoloff is a surname most notably associated with Morris Stoloff, an American musical director and composer prominent in Hollywood film music.
-
C.
Stolley
Stolley is the surname of Richard Stolley, the American journalist and founding managing editor of People magazine.
-
D.
Stilson
Stilson is a given name most notably borne by Stilson Hutchins, the American newspaper publisher who founded The Washington Post.
-
E.
Styer
Styer is a party to the landmark U.S. Supreme Court case Yamashita v. Styer, which addressed the legal responsibility of military commanders for war crimes committed by their subordinates.
- 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: Stoler Triple: [Shirley Stoler, familyName, Stoler]
Generated description
Stoler is a surname most notably associated with American actress Shirley Stoler, known for her intense character roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stoler Target entity description: Stoler is a surname most notably associated with American actress Shirley Stoler, known for her intense character roles in film and television.
-
A.
Stoll
Stoll is a surname most prominently associated with American actor Corey Stoll, known for his roles in film and television such as "House of Cards" and "Ant-Man."
-
B.
Stoloff
Stoloff is a surname most notably associated with Morris Stoloff, an American musical director and composer prominent in Hollywood film music.
-
C.
Stolley
Stolley is the surname of Richard Stolley, the American journalist and founding managing editor of People magazine.
-
D.
Stilson
Stilson is a given name most notably borne by Stilson Hutchins, the American newspaper publisher who founded The Washington Post.
-
E.
Styer
Styer is a party to the landmark U.S. Supreme Court case Yamashita v. Styer, which addressed the legal responsibility of military commanders for war crimes committed by their subordinates.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e52a2bc08190b80cc6ccf5779d7c |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4185fd3588190807cc2906c4ce3fd |
completed | May 1, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_69f41f1e746c81909f78f0e0bf173c7b |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f42291f3608190ab079f939d34cf15 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.