Triple
T4916124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Saltzman |
E110352
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jacqueline Saltzman
Jacqueline Saltzman was the wife of film producer Harry Saltzman, who co-produced the early James Bond movies.
|
E525947
|
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: Jacqueline Saltzman | Statement: [Harry Saltzman, spouse, Jacqueline Saltzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Saltzman Context triple: [Harry Saltzman, spouse, Jacqueline Saltzman]
-
A.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
B.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
C.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
-
D.
Sari Gilman
Sari Gilman is a film editor best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
-
E.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
- 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: Jacqueline Saltzman Triple: [Harry Saltzman, spouse, Jacqueline Saltzman]
Generated description
Jacqueline Saltzman was the wife of film producer Harry Saltzman, who co-produced the early James Bond movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Saltzman Target entity description: Jacqueline Saltzman was the wife of film producer Harry Saltzman, who co-produced the early James Bond movies.
-
A.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
B.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
C.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
-
D.
Sari Gilman
Sari Gilman is a film editor best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
-
E.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfa1bb8b5481908f02d08594cc2e1f |
completed | March 22, 2026, 8 a.m. |
| NEDg | Description generation | batch_69bfa58c22b481909fbe52bf11faf135 |
completed | March 22, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfa62cb12c8190944fff68429625a5 |
completed | March 22, 2026, 8:19 a.m. |
Created at: March 20, 2026, 1:29 p.m.