Triple
T23514417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Case of the Perjured Parrot |
E572515
|
entity |
| Predicate | hasFictionalLawFirm |
P152682
|
FINISHED |
| Object | Perry Mason's law practice |
—
|
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: Perry Mason's law practice | Statement: [The Case of the Perjured Parrot, hasFictionalLawFirm, Perry Mason's law practice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalLawFirm Context triple: [The Case of the Perjured Parrot, hasFictionalLawFirm, Perry Mason's law practice]
-
A.
lawFirm
Indicates a relationship where one entity is a law firm that provides legal services or representation to another entity.
-
B.
lawFirmNameInSeries
Indicates that a particular law firm is known by a specified name within a given series or franchise.
-
C.
lawFirmType
Indicates the specific category or classification of a law firm (such as its organizational or practice-type designation) in relation to that firm.
-
D.
hasFictionalProprietor
Indicates that something is owned, managed, or run by a fictional character or entity within a narrative context.
-
E.
worksForFictionalOrganization
Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:08 p.m.