Triple
T8032664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Office (UK TV series) |
E187024
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ewen MacIntosh |
E188890
|
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: Ewen MacIntosh | Statement: [The Office (UK TV series), starring, Ewen MacIntosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewen MacIntosh Context triple: [The Office (UK TV series), starring, Ewen MacIntosh]
-
A.
Ewen MacIntosh
chosen
Ewen MacIntosh is a British actor and comedian best known for playing the deadpan accountant Keith Bishop in the original UK version of "The Office."
-
B.
Ewen Macdonald
Ewen Macdonald was a Presbyterian minister best known as the husband of Canadian author Lucy Maud Montgomery.
-
C.
Gilean McVean
Gilean McVean is a British statistical geneticist known for his influential work on population genetics, human genomics, and the development of computational methods for analyzing genetic variation.
-
D.
Duncan Stewart
Duncan Stewart is a music producer best known for his work on U2’s album "Songs of Surrender."
-
E.
Angus McKie
Angus McKie is a British illustrator and colorist known for his detailed science fiction artwork and influential contributions to comic book coloring.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef18da48190835454a5eb969da7 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccecc7c7f08190981e00342325a6da |
completed | April 1, 2026, 10 a.m. |
Created at: March 30, 2026, 5:22 p.m.