Triple
T19914950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maia |
E478640
|
entity |
| Predicate | coverArtist |
P184
|
FINISHED |
| Object | David Scutt |
—
|
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: David Scutt | Statement: [Maia, coverArtist, David Scutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Scutt Context triple: [Maia, coverArtist, David Scutt]
-
A.
David Scutt
chosen
David Scutt is an illustrator and cover artist known for creating the cover art for works such as the James Bond novel "The Man with the Red Tattoo."
-
B.
Peter Marwood
Peter Marwood is a person identified as the character Marwood, whose full name is indicated in the script as Peter Marwood.
-
C.
Mark Lucraft
Mark Lucraft is a senior British judge who serves in one of the most prominent judicial roles in the City of London.
-
D.
Peter Scudder
Peter Scudder is a fictional character, most notably appearing as a key figure in John le Carré’s spy novel "The Little Drummer Girl."
-
E.
Stephen Scobie
Stephen Scobie is a Canadian poet, critic, and scholar known for his work on contemporary literature and culture.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6599394f081909246006c2e83bacc |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.