Triple
T32280227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American (wizarding world) |
E824668
|
entity |
| Predicate | RappaportsLawEffect |
P159359
|
FINISHED |
| Object | strict segregation between magical and No-Maj communities |
—
|
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: strict segregation between magical and No-Maj communities | Statement: [American (wizarding world), RappaportsLawEffect, strict segregation between magical and No-Maj communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RappaportsLawEffect Context triple: [American (wizarding world), RappaportsLawEffect, strict segregation between magical and No-Maj communities]
-
A.
providesEffect
Indicates that one entity causes, delivers, or produces a particular effect or outcome on another entity.
-
B.
canonicalEffect
chosen
Indicates the standard or primary effect that an action, event, or entity is typically understood to produce.
-
C.
hasLegalEffect
Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
-
D.
repealEffect
Indicates that one legal act or decision nullifies, cancels, or removes the force or applicability of another.
-
E.
legalEffectIfAdopted
Indicates that a specified legal effect or consequence will occur if a particular proposal, rule, or measure is formally adopted.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc7edfc81909d0008fa9364de54 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:43 a.m.