Triple
T17374080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who: Flux |
E422388
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | John Bishop |
—
|
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: John Bishop | Statement: [Doctor Who: Flux, featuresActor, John Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bishop Context triple: [Doctor Who: Flux, featuresActor, John Bishop]
-
A.
John Bishop
chosen
John Bishop is an English stand-up comedian, actor, and television presenter known for his energetic storytelling style and appearances on British panel shows and dramas.
-
B.
John Bishop
John Bishop is the son of Maurice Bishop, the revolutionary leader and former Prime Minister of Grenada.
-
C.
John Michael Bishop
John Michael Bishop is an American immunologist and microbiologist who won the Nobel Prize in Physiology or Medicine for discovering the cellular origin of retroviral oncogenes.
-
D.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
E.
Ross Mathews
Ross Mathews is an American television personality and comedian known for his bubbly commentary style and appearances on shows like The Tonight Show with Jay Leno, Celebrity Big Brother, and various reality and talk programs.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6b71148190bb10e1fac400d6c3 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.