Triple
T27579790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnival of Light |
E699552
|
entity |
| Predicate | bootlegStatus |
P159597
|
FINISHED |
| Object | no confirmed complete bootleg |
—
|
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: no confirmed complete bootleg | Statement: [Carnival of Light, bootlegStatus, no confirmed complete bootleg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bootlegStatus Context triple: [Carnival of Light, bootlegStatus, no confirmed complete bootleg]
-
A.
isBootleg
chosen
Indicates that something is an unauthorized, unofficial, or illicit copy, recording, or version of an original work or product.
-
B.
isFrequentlyBootlegged
Indicates that the subject is often copied, reproduced, or distributed unofficially or illegally, typically without authorization.
-
C.
originallyBootleggedAs
Indicates that a work was first distributed or circulated in an unauthorized or bootleg form under a particular title, format, or release before any official version.
-
D.
wineRegulationStatus
Indicates the regulatory classification or compliance status that applies to a given wine under relevant laws or standards.
-
E.
legalStatusOfItems
Indicates the legal classification or regulatory standing that applies to specified items.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63014d5908190ab79a701348492d7 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:02 p.m.