Triple
T16003261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti World Tour |
E388146
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Puma |
E23437
|
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: Puma | Statement: [Anti World Tour, sponsor, Puma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puma Context triple: [Anti World Tour, sponsor, Puma]
-
A.
Puma
chosen
Puma is a major German sportswear and athletic footwear brand known for its performance-oriented shoes, apparel, and collaborations with high-profile athletes and designers.
-
B.
Puma
Puma is a genus of large, slender wild cats best known for the cougar (also called mountain lion or puma), a powerful and adaptable predator found across the Americas.
-
C.
Puma
Puma is the codename for Mac OS X 10.1, an early version of Apple’s Mac operating system that improved performance and usability over the initial Mac OS X release.
-
D.
Puma
Puma is the NATO reporting name for the Aérospatiale SA 330J, a medium-lift, twin-engine military transport helicopter used by various armed forces worldwide.
-
E.
PUMA
PUMA is a physics experiment that studies the properties and interactions of antiprotons at CERN’s Extra Low ENergy Antiproton ring (ELENA).
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fd753c819099707109e35540e1 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dba8e08190b6b26ac9a6854e50 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.