Triple
T10588019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LBC |
E249905
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Global |
E399819
|
NE 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: Global | Statement: [LBC, owner, Global]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Global Context triple: [LBC, owner, Global]
-
A.
Global
chosen
Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
-
B.
Worldwide
Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
-
C.
All-World
All-World is the sprawling, post-apocalyptic fantasy universe in Stephen King’s Dark Tower series, where multiple realities intersect around the quest for the Dark Tower.
-
D.
Focus World
Focus World is a film distribution label of Focus Features that specializes in releasing independent and international movies, often through limited theatrical and digital platforms.
-
E.
We Global
We Global is a studio album by American DJ and producer DJ Khaled, known for its star-studded guest features and Southern hip hop anthems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527793c588190bfe3a5261eb7f919 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b9440548190bff01847a940266b |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:40 p.m.