Triple
T21332616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Saltzman |
E525947
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jacqueline Saltzman |
—
|
NE NERFINISHED |
How this triple was built (2 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.
Jacqueline Saltzman
chosen
Jacqueline Saltzman was the wife of film producer Harry Saltzman, who co-produced the early James Bond movies.
-
B.
Jacqueline Shapiro
Jacqueline Shapiro is known primarily as the wife of American screenwriter and producer Ernest Lehman.
-
C.
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."
-
D.
Jessica Gelman
Jessica Gelman is a prominent sports analytics executive and entrepreneur best known for co-founding and leading the influential MIT Sloan Sports Analytics Conference.
-
E.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5ba65c4081908b93d5dc6a937cb6 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 4:42 p.m.