Triple
T8175858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory |
E190934
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | We Global |
E190933
|
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: We Global | Statement: [Victory, precededBy, We Global]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: We Global Context triple: [Victory, precededBy, We Global]
-
A.
We Global
chosen
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.
-
B.
Ever Globe
Ever Globe is a large container ship in the Evergreen Marine fleet, belonging to the same class as the famously wedged Suez Canal vessel Ever Given.
-
C.
Worldwide
Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
-
D.
Global
Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
-
E.
Discover Global Network
Discover Global Network is a worldwide payment network that processes card transactions and supports merchants and cardholders across numerous countries.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf75bf2481908d585f7017be36a5 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.