Triple
T18357439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Films |
E439830
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Neil Aspinall |
—
|
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: Neil Aspinall | Statement: [Apple Films, hasKeyPerson, Neil Aspinall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Aspinall Context triple: [Apple Films, hasKeyPerson, Neil Aspinall]
-
A.
Neil Aspinall
chosen
Neil Aspinall was a close associate and longtime road manager of the Beatles who later became the chief executive of their company, Apple Corps.
-
B.
Curt Smith
Curt Smith is an English musician best known as the co-founder, bassist, and co-vocalist of the pop-rock band Tears for Fears.
-
C.
Scott Robinson
Scott Robinson is a fictional character from the long-running Australian soap opera "Neighbours," known for being one of the show's original and central Ramsay Street residents.
-
D.
Andrew Cliff
Andrew Cliff is a prominent British geographer and spatial epidemiologist known for his influential work on the geographical analysis of disease and spatial statistics.
-
E.
David Parfitt
David Parfitt is a British film producer best known for his Academy Award-winning work on acclaimed dramas such as "Shakespeare in Love."
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d776cc8190937d7e1d42a36a3b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.