Triple
T11235813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time Gentlemen Please |
E265937
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Al Murray |
E913190
|
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: Al Murray | Statement: [Time Gentlemen Please, leadActor, Al Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Murray Context triple: [Time Gentlemen Please, leadActor, Al Murray]
-
A.
Al Murray
chosen
Al Murray is a British comedian and television personality best known for his pub landlord character and sharp, observational stand-up comedy.
-
B.
Martin Short
Martin Short is a Canadian-American comedian and actor renowned for his energetic characters and work on sketch comedy shows, films, and Broadway.
-
C.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
-
D.
Phil Hartman
Phil Hartman was a Canadian-American comedian, actor, and writer best known for his work on "Saturday Night Live" and the sitcom "NewsRadio."
-
E.
Paul Mooney
Paul Mooney was an influential American comedian, writer, and actor best known for his sharp, uncompromising commentary on race and his writing work with Richard Pryor.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc5bcff08190830d09c9aa0187b2 |
completed | April 19, 2026, 12:36 p.m. |
Created at: April 8, 2026, 9:30 p.m.