Triple
T2308485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Jones (1963 film) |
E51895
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | John Addison |
E205506
|
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: John Addison | Statement: [Tom Jones (1963 film), musicBy, John Addison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Addison Context triple: [Tom Jones (1963 film), musicBy, John Addison]
-
A.
John Addison
chosen
John Addison was a British film composer renowned for his versatile and melodic scores for mid-20th-century cinema and television.
-
B.
Will Adams
Will Adams is the birth name of will.i.am, the American rapper, singer, songwriter, and producer best known as a founding member of the Black Eyed Peas.
-
C.
Oscar Furlong
Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
-
D.
Joe Ricketts
Joe Ricketts is an American businessman best known as the founder of the online brokerage firm TD Ameritrade and a prominent member of the billionaire Ricketts family.
-
E.
Kevin Chapman
Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc607cf4881908ba4ea2a7f5dedc9 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f3a007c8190b5c8683ced9d77fa |
completed | March 9, 2026, 8:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.