Triple
T16875228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Stefano |
E421280
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marilyn Stefano
Marilyn Stefano is known as the wife of American screenwriter and producer Joseph Stefano, who co-wrote the screenplay for Alfred Hitchcock's film "Psycho."
|
E1276638
|
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: Marilyn Stefano | Statement: [Joseph Stefano, spouse, Marilyn Stefano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marilyn Stefano Context triple: [Joseph Stefano, spouse, Marilyn Stefano]
-
A.
Deanna Piatelli
Deanna Piatelli is known as the spouse of Jack Dempsey.
-
B.
Donna Gigliotti
Donna Gigliotti is an Academy Award–winning American film producer known for acclaimed works such as "Shakespeare in Love" and "Silver Linings Playbook."
-
C.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
D.
Linda Moretti
Linda Moretti is an actress best known for her role in the acclaimed Italian film "Il Postino" ("The Postman").
-
E.
Elaine Nardo
Elaine Nardo is a central character on the classic American sitcom "Taxi," portrayed as a single mother working as a part-time cab driver while pursuing a better life.
- 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: Marilyn Stefano Triple: [Joseph Stefano, spouse, Marilyn Stefano]
Generated description
Marilyn Stefano is known as the wife of American screenwriter and producer Joseph Stefano, who co-wrote the screenplay for Alfred Hitchcock's film "Psycho."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marilyn Stefano Target entity description: Marilyn Stefano is known as the wife of American screenwriter and producer Joseph Stefano, who co-wrote the screenplay for Alfred Hitchcock's film "Psycho."
-
A.
Deanna Piatelli
Deanna Piatelli is known as the spouse of Jack Dempsey.
-
B.
Donna Gigliotti
Donna Gigliotti is an Academy Award–winning American film producer known for acclaimed works such as "Shakespeare in Love" and "Silver Linings Playbook."
-
C.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
D.
Linda Moretti
Linda Moretti is an actress best known for her role in the acclaimed Italian film "Il Postino" ("The Postman").
-
E.
Elaine Nardo
Elaine Nardo is a central character on the classic American sitcom "Taxi," portrayed as a single mother working as a part-time cab driver while pursuing a better life.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddcf76fc81908b455c570e12d4d8 |
completed | May 11, 2026, 1:46 p.m. |
| NEDg | Description generation | batch_6a01df83eae88190b8203169c73affb1 |
completed | May 11, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01dfbfc47881908fc933be12de619d |
completed | May 11, 2026, 1:55 p.m. |
Created at: April 10, 2026, 5:29 a.m.