Triple
T12669193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Muldaur |
E302631
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Number One with a Bullet |
E477547
|
NE FINISHED |
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: Number One with a Bullet | Statement: [Diana Muldaur, appearedIn, Number One with a Bullet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Number One with a Bullet Context triple: [Diana Muldaur, appearedIn, Number One with a Bullet]
-
A.
Number One with a Bullet
chosen
Number One with a Bullet is a 1987 action-comedy crime film featuring Dyan Cannon alongside Robert Carradine and Billy Dee Williams as mismatched detectives.
-
B.
Live Bullet
Live Bullet is a celebrated live rock album by Bob Seger & the Silver Bullet Band, widely credited with breaking Seger into national prominence in the mid-1970s.
-
C.
One by One
One by One is a 2002 rock album by Foo Fighters known for its heavier sound and hit singles like "All My Life" and "Times Like These."
-
D.
One by One
"One by One" is a song recorded by the American R&B/rock and roll vocal group The Coasters.
-
E.
Down to One
"Down to One" is a country song by Luke Bryan featured on his album "Born Here Live Here Die Here."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688e101481909bc3b9e13ed84632 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.