Triple
T27116903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunsense |
E686873
|
entity |
| Predicate | originalCastSize |
P102046
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Nunsense, originalCastSize, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCastSize Context triple: [Nunsense, originalCastSize, 5]
-
A.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
B.
hasMainCastSize
Indicates the relationship that specifies the number of principal or main cast members associated with an entity.
-
C.
numberOfActors
chosen
Indicates the total count of actors associated with a given entity or context.
-
D.
originalCastPerformer
Indicates that a performer was part of the original cast in the first production or release of a work.
-
E.
hasSmallCast
Indicates that a work, such as a film, play, or show, involves a relatively small number of performers or characters.
- 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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 27, 2026, 8:57 a.m.