Triple
T37994584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Sex Please, We're British |
E947912
|
entity |
| Predicate | theatreRunLocation |
P39739
|
FINISHED |
| Object | London West End |
—
|
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: London West End | Statement: [No Sex Please, We're British, theatreRunLocation, London West End]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatreRunLocation Context triple: [No Sex Please, We're British, theatreRunLocation, London West End]
-
A.
theatreLocatedIn
Indicates that a theatre is situated within or at a specific geographic location or administrative area.
-
B.
theatricalRun
chosen
Indicates that a film, play, or performance is being publicly shown in theaters over a defined period of time.
-
C.
theatreCity
Indicates that a theatre is located in, or primarily associated with, a particular city.
-
D.
theatreOpened
Indicates that a theatre began operating or was officially opened at a particular time or event.
-
E.
cityTheaterStatus
Indicates the operational or functional status of a theater within a given city.
- F. None of above.
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.