Triple
T11394077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Lewis |
E269920
|
entity |
| Predicate | mediumOfWorkAppearsIn |
P99077
|
FINISHED |
| Object | theatre |
—
|
LITERAL 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: theatre | Statement: [George Lewis, mediumOfWorkAppearsIn, theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfWorkAppearsIn Context triple: [George Lewis, mediumOfWorkAppearsIn, theatre]
-
A.
mediumOfAcademicWork
Indicates that a particular medium or format is the channel through which an academic work is expressed, recorded, or communicated.
-
B.
mediaWork
Indicates a relationship where one entity is a media-related work (such as a film, book, recording, or other creative media production) associated with another entity.
-
C.
subsequentMedium
Indicates that one medium or format follows another in a sequence, typically as a later or alternative form of the same content or communication.
-
D.
mediumSupport
Indicates that one entity provides a moderate or intermediate level of support or assistance to another entity.
-
E.
publicationOfWork
Indicates that a particular work has been formally made public, typically through printing, distribution, or release by a publisher or similar 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80018a58c81908b80dc9abd18d650 |
completed | April 9, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.