Triple
T5043392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrow in the Dust |
E113599
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | William Bishop |
E490157
|
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: William Bishop | Statement: [Arrow in the Dust, starring, William Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Bishop Context triple: [Arrow in the Dust, starring, William Bishop]
-
A.
William Bishop
chosen
William Bishop was an American film and television actor active in the 1940s and 1950s, known for his roles in Westerns and adventure films.
-
B.
William Pleeth
William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
-
C.
John Blatchley
John Blatchley was a British theatre director and educator best known as a co-founder of the influential Drama Centre London acting school.
-
D.
William Bateman
William Bateman was a 14th-century English bishop and influential academic patron best known for establishing Trinity Hall at the University of Cambridge.
-
E.
Christopher Fairbank
Christopher Fairbank is a British character actor known for his distinctive features and roles in film and television, including appearances in productions such as "Auf Wiedersehen, Pet" and various Shakespearean adaptations.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fc04f08190aba851fa0192d0fb |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0f746788190bf73b8b5069e89cb |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:37 p.m.