Triple
T23514787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Buchman |
E574327
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jamie Buchman |
—
|
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: Jamie Buchman | Statement: [Paul Buchman, spouse, Jamie Buchman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Buchman Context triple: [Paul Buchman, spouse, Jamie Buchman]
-
A.
Jamie Buchman
chosen
Jamie Buchman is a witty, independent public relations specialist and one half of the central married couple in the 1990s sitcom "Mad About You."
-
B.
Rachel Buchman
Rachel Buchman is the titular bride and central figure in the 2008 drama film "Rachel Getting Married," around whose wedding and family tensions the story revolves.
-
C.
Kym Buchman
Kym Buchman is the troubled, recovering addict at the emotional center of the film "Rachel Getting Married," whose return home for her sister’s wedding exposes deep family tensions and unresolved grief.
-
D.
Jody Silverman
Jody Silverman is a character portrayed by actor Zach McGowan.
-
E.
Jennifer Buchwald
Jennifer Buchwald is the daughter of Pulitzer Prize–winning American humorist and columnist Art Buchwald.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.