Triple
T1775425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiat/Day |
E38965
|
entity |
| Predicate | client |
P27
|
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: [Chiat/Day, client, Energizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Energizer Context triple: [Chiat/Day, client, 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.
Newell Brands
Newell Brands is a global consumer goods company known for its wide portfolio of household, writing, and outdoor product brands such as Rubbermaid, Sharpie, and Coleman.
-
D.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
E.
Kalem Company
Kalem Company was an early American motion picture studio active in the silent film era, known for its pioneering location shooting and popular serials in the 1900s and 1910s.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b6c4a88190ab2f75c8d4814f11 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9982d208190b0c29ee1141e91b0 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.