Triple
T18114909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Being with You |
E433579
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | George Tobin |
—
|
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: George Tobin | Statement: [Being with You, producer, George Tobin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Tobin Context triple: [Being with You, producer, George Tobin]
-
A.
George Tobin
chosen
George Tobin is an American record producer best known for his work in the 1980s and 1990s with pop artists such as Tiffany.
-
B.
Patrick Tobin
Patrick Tobin is an American screenwriter best known for writing the screenplay for the 2014 drama film "Cake" starring Jennifer Aniston.
-
C.
Anthony O’Donnell
Anthony O’Donnell is a British actor known for his work in film, television, and theatre, including a role in the Mike Leigh production "Nuts in May."
-
D.
Joe Flaherty
Joe Flaherty was a Canadian-American comedian and actor best known as an original cast member and writer on the sketch comedy series SCTV.
-
E.
Andrew McDonough
Andrew McDonough is a voice actor known for his role in the animated film "Return to Never Land."
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.