Triple
T12451762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UL |
E297548
|
entity |
| Predicate | underlyingCompanyOwnsBrand |
P6745
|
FINISHED |
| Object | Magnum |
E297558
|
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: Magnum | Statement: [UL, underlyingCompanyOwnsBrand, Magnum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnum Context triple: [UL, underlyingCompanyOwnsBrand, Magnum]
-
A.
Magnum
chosen
Magnum is a popular global ice cream brand known for its premium chocolate-coated ice cream bars.
-
B.
Magnum
Magnum is an OpenStack service that provides container orchestration engines like Kubernetes and Docker Swarm on OpenStack infrastructure.
-
C.
Magnum XL-200
Magnum XL-200 is a pioneering hypercoaster at Cedar Point in Sandusky, Ohio, renowned for being one of the first roller coasters to exceed 200 feet in height and for helping spark the global coaster height race.
-
D.
Magnum Photos
Magnum Photos is a renowned international photographic cooperative founded in 1947, known for its influential documentary and photojournalistic work by some of the world’s leading photographers.
-
E.
Bridgeman
Bridgeman is an English surname historically associated with British nobility and aristocratic families.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541ace208190a5149b6f18fa196d |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9f4dd08190b1d62b03d68cc8a6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.