Triple
T999985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Spy Who Loved Me |
E21580
|
entity |
| Predicate | coverArtist |
P184
|
FINISHED |
| Object | Richard Chopping |
E116794
|
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: Richard Chopping | Statement: [The Spy Who Loved Me, coverArtist, Richard Chopping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Chopping Context triple: [The Spy Who Loved Me, coverArtist, Richard Chopping]
-
A.
Richard Chopping
chosen
Richard Chopping was a British painter and illustrator best known for his distinctive trompe-l'œil dust jacket designs for Ian Fleming’s James Bond novels.
-
B.
Rudulph Evans
Rudulph Evans was an American sculptor best known for creating the statue of Thomas Jefferson housed in the Jefferson Memorial in Washington, D.C.
-
C.
Frank Farmer
Frank Farmer is the stoic former Secret Service agent turned professional bodyguard who is hired to protect a famous singer in the film "The Bodyguard."
-
D.
Jan Chapman
Jan Chapman is an acclaimed Australian film producer known for her work on influential independent and art-house films.
-
E.
Philip Skippon
Philip Skippon was a prominent 17th-century English soldier and Parliamentarian general who played a key role in the English Civil War, particularly as a senior officer in the New Model Army.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4e3d8b081908e536928e7d6199d |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac428ba1d88190bd2fd9d3de699291 |
completed | March 7, 2026, 3:21 p.m. |
Created at: March 1, 2026, 7:41 p.m.