Triple
T1408968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Till Death Us Do Part |
E31759
|
entity |
| Predicate | workLocationOf |
P1527
|
FINISHED |
| Object | Johnny Speight |
E217631
|
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: Johnny Speight | Statement: [Till Death Us Do Part, workLocationOf, Johnny Speight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Speight Context triple: [Till Death Us Do Part, workLocationOf, Johnny Speight]
-
A.
Johnny Speight
chosen
Johnny Speight was a British television scriptwriter best known for his sharp, socially satirical comedy and creation of controversial, working-class characters.
-
B.
Keith Foulke
Keith Foulke is a former Major League Baseball relief pitcher best known as the Boston Red Sox closer who played a pivotal role in their 2004 World Series championship run.
-
C.
Eddie Leslie
Eddie Leslie was a British screenwriter and actor known for his work on mid-20th-century comedy films.
-
D.
Fred Barker
Fred Barker was an American gangster and member of the notorious Barker–Karpis gang during the early 20th-century crime wave in the United States.
-
E.
Jon Shirley
Jon Shirley is an American businessman and former Microsoft executive known for helping lead the company’s early growth and for his philanthropy in the arts and education.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3c10f44819085e1c4601423740d |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fae5aa08190b6aa50b543a175b8 |
completed | March 9, 2026, 1:17 a.m. |
Created at: March 1, 2026, 7:59 p.m.