Triple
T32992841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia in Joe’s Life |
E844136
|
entity |
| Predicate | basedOnWorkFormat |
P197459
|
FINISHED |
| Object | multi-camera sitcom |
—
|
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: multi-camera sitcom | Statement: [Patricia in Joe’s Life, basedOnWorkFormat, multi-camera sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnWorkFormat Context triple: [Patricia in Joe’s Life, basedOnWorkFormat, multi-camera sitcom]
-
A.
basedInWorkFormat
Indicates that an entity operates or is situated within a particular work format (such as remote, hybrid, or on-site) as its primary mode of working.
-
B.
basedOnWorkAdaptedTo
Indicates that one work is derived from and adapted based on the content, story, or elements of another pre-existing work.
-
C.
basedOnWorkAdaptations
Indicates that one work is an adaptation derived from, or created on the basis of, another pre-existing work.
-
D.
basedOnWorkDirector
Indicates that one entity serves as the director of a work on which another entity is based.
-
E.
basedOnWorkPeriod
Indicates that something is determined, calculated, or defined according to a specific period of work or employment.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69fe9208ed708190980fb5061b22ae49 |
completed | May 9, 2026, 1:46 a.m. |
Created at: May 1, 2026, 1:22 a.m.