Triple
T32512996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Much Apu About Nothing |
E830984
|
entity |
| Predicate | fictionalLaw |
P195405
|
FINISHED |
| Object | Proposition 24 |
—
|
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: Proposition 24 | Statement: [Much Apu About Nothing, fictionalLaw, Proposition 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalLaw Context triple: [Much Apu About Nothing, fictionalLaw, Proposition 24]
-
A.
fictionalLawyer
Indicates that one entity is a lawyer who exists only within a fictional or narrative context in relation to another entity.
-
B.
legalFiction
Indicates a relationship where something is treated as true or as having a particular legal status or effect, even though it is not literally or factually the case, for the purpose of applying or interpreting the law.
-
C.
fictionalJurisdiction
Indicates that one entity has legal authority or governance over another within an invented or imaginary legal system or territory.
-
D.
workInLegalFiction
Indicates that an entity performs work or has a role within the context of legal fiction, such as hypothetical or constructed legal scenarios, entities, or frameworks.
-
E.
fictionalUse
Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: May 1, 2026, 1 a.m.