Triple
T8092128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewen MacIntosh |
E188890
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Keith Bishop |
E719683
|
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: Keith Bishop | Statement: [Ewen MacIntosh, portrayed, Keith Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keith Bishop Context triple: [Ewen MacIntosh, portrayed, Keith Bishop]
-
A.
Keith Bishop
chosen
Keith Bishop is a socially awkward and bumbling accountant character from the British television mockumentary series "The Office."
-
B.
Des Bishop
Des Bishop is an Irish-American stand-up comedian and television personality known for his socially conscious humor and work on Irish and Chinese culture.
-
C.
Eric Bishop
Eric Bishop is the troubled Manchester postman and devoted Manchester United fan who serves as the central protagonist in Ken Loach’s film "Looking for Eric."
-
D.
Stephen Baynes
Stephen Baynes is an Australian choreographer renowned for his long-standing creative work with The Australian Ballet, where he has become one of the company’s most significant resident choreographers.
-
E.
Kevin Shepherd
Kevin Shepherd is a fictional character who appears as a key figure in the live-action Disney film "102 Dalmatians."
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3438ae2481909549a05f195cda39 |
completed | April 1, 2026, 3:05 p.m. |
Created at: March 30, 2026, 5:30 p.m.