Triple
T15472646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | #26 Wonder Bread Chevrolet |
E376701
|
entity |
| Predicate | propDepartment |
P118372
|
FINISHED |
| Object | Sony Pictures production |
—
|
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: Sony Pictures production | Statement: [#26 Wonder Bread Chevrolet, propDepartment, Sony Pictures production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propDepartment Context triple: [#26 Wonder Bread Chevrolet, propDepartment, Sony Pictures production]
-
A.
department
Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
-
B.
laterDepartment
Indicates that one department occurs or is considered after another in a defined ordering or sequence.
-
C.
basedInDepartment
Indicates that an entity operates or has its primary affiliation within a specific department.
-
D.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
E.
unionDepartment
Indicates that a department is associated with, represented by, or covered by a particular union.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:33 a.m.