Triple
T27579802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnival of Light |
E699552
|
entity |
| Predicate | hasLegalRightsHolder |
P1365
|
FINISHED |
| Object | Apple Corps |
—
|
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: Apple Corps | Statement: [Carnival of Light, hasLegalRightsHolder, Apple Corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalRightsHolder Context triple: [Carnival of Light, hasLegalRightsHolder, Apple Corps]
-
A.
hasCopyrightHolder
chosen
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
B.
hasLegalRight
Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
-
C.
hasBroadcastRightsHolder
Indicates that one entity holds the legal rights to broadcast content owned or controlled by another entity.
-
D.
hasFranchiseRightsholder
Indicates that one entity holds the legal or contractual rights to operate, manage, or exploit a particular franchise owned by another entity.
-
E.
hasLegalDepositRightFor
Indicates that an entity holds the legal right to receive, collect, or claim deposited materials (such as publications or documents) from another entity under legal deposit regulations.
- 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_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 2:02 p.m.