Triple
T24402952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lion Sleeps Tonight |
E615228
|
entity |
| Predicate | hasLegalDisputes |
P4511
|
FINISHED |
| Object | royalty claims related to Solomon Linda |
—
|
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: royalty claims related to Solomon Linda | Statement: [The Lion Sleeps Tonight, hasLegalDisputes, royalty claims related to Solomon Linda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalDisputes Context triple: [The Lion Sleeps Tonight, hasLegalDisputes, royalty claims related to Solomon Linda]
-
A.
hasLegalProceeding
Indicates that there is a formal legal action, case, or proceeding involving the related entities.
-
B.
hasLegalIssue
chosen
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
-
C.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
D.
hasOngoingLegalSignificance
Indicates that a legal matter, status, or decision continues to have current relevance, effect, or consequences under the law.
-
E.
hasDisputeWith
Indicates that there is a conflict, disagreement, or contested issue between two entities.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294dc1240819085aba9a8c2e07f42 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.