Triple
T6965677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duracell Bunny |
E161480
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Duracell |
E31750
|
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: Duracell | Statement: [Duracell Bunny, introducedBy, Duracell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duracell Context triple: [Duracell Bunny, introducedBy, Duracell]
-
A.
Duracell
chosen
Duracell is a leading global brand of batteries and power solutions, best known for its long-lasting alkaline batteries and copper-top design.
-
B.
Energizer
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.
-
C.
Battery Smith
Battery Smith is a coastal artillery battery that formed part of the defensive fortifications at Fort Mills on Corregidor Island in the Philippines.
-
D.
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.
-
E.
Sylvania Electric Products
Sylvania Electric Products was a major American manufacturer of radio and television tubes, consumer electronics, and lighting products that became part of GTE through acquisition.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1049e0819097099a0e9d15f787 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761908564819084505f0ab1122a9c |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.