Triple
T28977890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vote |
E734461
|
entity |
| Predicate | liveFrom |
P166077
|
FINISHED |
| Object | Donmar Warehouse |
—
|
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: Donmar Warehouse | Statement: [The Vote, liveFrom, Donmar Warehouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveFrom Context triple: [The Vote, liveFrom, Donmar Warehouse]
-
A.
alsoLiveOn
Indicates that two or more entities reside or are located on the same place, platform, medium, or environment.
-
B.
makesLivingFrom
Indicates that one entity earns their primary income or livelihood through the work, activity, or resource associated with another entity.
-
C.
liveOrStudio
Indicates whether something (typically a performance or recording) was done live or in a studio setting.
-
D.
isLive
Indicates that an entity is currently broadcasting or occurring in real time, as opposed to being pre-recorded or inactive.
-
E.
liveAction
Indicates that an entity is a live-action (non-animated) adaptation, portrayal, or version of another entity.
- F. None of above. chosen
Provenance (4 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ee1cc508190bc979963e3589271 |
completed | May 2, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 9:09 a.m.