Triple
T15129997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Tours – The Adventures Continue |
E361391
|
entity |
| Predicate | hasSponsor |
P35686
|
FINISHED |
| Object | Energizer |
E163596
|
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: Energizer | Statement: [Star Tours – The Adventures Continue, hasSponsor, Energizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Energizer Context triple: [Star Tours – The Adventures Continue, hasSponsor, Energizer]
-
A.
Energizer
chosen
Energizer is a major American brand best known for its household batteries and portable power products, often recognized by its iconic drum-playing bunny mascot.
-
B.
Duracell
Duracell is a leading global brand of batteries and power solutions, best known for its long-lasting alkaline batteries and copper-top design.
-
C.
Spectrum Brands
Spectrum Brands is a global consumer products company known for its diverse portfolio of household, personal care, pet, and home improvement brands.
-
D.
Arnold’s Battery
Arnold’s Battery was a Union artillery unit that took part in the First Battle of Bull Run during the American Civil War.
-
E.
Eaton’s
Eaton’s was a major Canadian department store chain that became a retail icon and helped shape downtown shopping districts across the country.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.