Triple
T22017216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Maughan |
E543743
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Vice |
—
|
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: The Vice | Statement: [Sharon Maughan, notableWork, The Vice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Vice Context triple: [Sharon Maughan, notableWork, The Vice]
-
A.
The Vice
chosen
The Vice is a British television crime drama series that follows a specialized Metropolitan Police unit tackling vice-related offenses in London.
-
B.
Vice
Vice is a 2018 biographical dark comedy film written and directed by Adam McKay that chronicles the rise and influence of former U.S. Vice President Dick Cheney.
-
C.
Vice
"Vice" is a 1987 hip hop single by Melle Mel that showcases his socially conscious lyricism and distinctive old-school rap style.
-
D.
Vice Squad
Vice Squad is a 1982 crime thriller film about a Los Angeles prostitute who helps police track down a violent pimp.
-
E.
The Deputy
"The Deputy" is a work—likely a film, television episode, or stage production—best known for featuring actress Betty Lou Keim in a significant role.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c4e0088190a5241d1b87d746da |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.