Triple
T37617710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Kitty |
E935973
|
entity |
| Predicate | createdByUnit |
P806
|
FINISHED |
| Object | Leon Schlesinger Productions |
—
|
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: Leon Schlesinger Productions | Statement: [Little Kitty, createdByUnit, Leon Schlesinger Productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdByUnit Context triple: [Little Kitty, createdByUnit, Leon Schlesinger Productions]
-
A.
createdByDivision
Indicates that something was produced, established, or brought into existence by a specific division within an organization.
-
B.
createdAsUnitaryAuthorityBy
Indicates that an entity was established or formed as a unitary authority by another entity or legal act.
-
C.
createdBy
chosen
Indicates that something was brought into existence, produced, or authored through the actions or efforts of a specific agent or entity.
-
D.
createdAsAdministrativeUnit
Indicates that an entity was brought into existence specifically to function as an administrative unit within an organizational or governmental structure.
-
E.
introducedByUnit
Indicates that something was brought into existence, initiated, or caused as a result of the actions or influence of a particular unit.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffecdcbac4819093b725a7dbe0e61b |
completed | May 10, 2026, 2:26 a.m. |
| PD | Predicate disambiguation | batch_69ffec3633288190adbbd84e277708dc |
completed | May 10, 2026, 2:23 a.m. |
Created at: May 3, 2026, 4:18 p.m.