Triple
T13476144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Knudsen |
E318255
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
William F. Ziegler
William F. Ziegler was the husband of American film and radio actress Peggy Knudsen.
|
E1545666
|
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: William F. Ziegler | Statement: [Peggy Knudsen, spouse, William F. Ziegler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William F. Ziegler Context triple: [Peggy Knudsen, spouse, William F. Ziegler]
-
A.
William H. Ziegler
William H. Ziegler was an American film editor known for his work on major Hollywood productions, including the musical comedy-drama "Funny Girl."
-
B.
Ralph E. Winters
Ralph E. Winters was an Academy Award–winning Canadian-American film editor known for his work on numerous major Hollywood films throughout the mid-20th century.
-
C.
William F. Zorzi
William F. Zorzi is an American journalist and television writer best known for his work on HBO series such as The Wire and Show Me a Hero.
-
D.
John F. Seitz
John F. Seitz was a prominent American cinematographer best known for his influential work in early Hollywood and on classic film noirs such as Double Indemnity and Sunset Boulevard.
-
E.
John A. Knebel
John A. Knebel is an American lawyer and government official who served as United States Secretary of Agriculture in the 1970s.
- 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: William F. Ziegler Triple: [Peggy Knudsen, spouse, William F. Ziegler]
Generated description
William F. Ziegler was the husband of American film and radio actress Peggy Knudsen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William F. Ziegler Target entity description: William F. Ziegler was the husband of American film and radio actress Peggy Knudsen.
-
A.
William H. Ziegler
William H. Ziegler was an American film editor known for his work on major Hollywood productions, including the musical comedy-drama "Funny Girl."
-
B.
Ralph E. Winters
Ralph E. Winters was an Academy Award–winning Canadian-American film editor known for his work on numerous major Hollywood films throughout the mid-20th century.
-
C.
William F. Zorzi
William F. Zorzi is an American journalist and television writer best known for his work on HBO series such as The Wire and Show Me a Hero.
-
D.
John F. Seitz
John F. Seitz was a prominent American cinematographer best known for his influential work in early Hollywood and on classic film noirs such as Double Indemnity and Sunset Boulevard.
-
E.
John A. Knebel
John A. Knebel is an American lawyer and government official who served as United States Secretary of Agriculture in the 1970s.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4de0dec48190a74ccdef29499dfb |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b4f6389988190ad3772c081d74dac |
completed | May 18, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b500dd6d08190876c8ea69f53dec0 |
completed | May 18, 2026, 5:44 p.m. |
Created at: April 9, 2026, 9:42 p.m.