Triple
T3823110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newell Brands Inc. |
E88621
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Sistema |
E88633
|
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: Sistema | Statement: [Newell Brands Inc., brand, Sistema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sistema Context triple: [Newell Brands Inc., brand, Sistema]
-
A.
Sistema
chosen
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
B.
System 4
System 4 is an early version of Apple’s classic Macintosh operating system used on compact Macs like the Macintosh SE.
-
C.
Sistema Central
Sistema Central is a major mountain range in central Spain that forms a natural barrier dividing the northern and southern plateaus of the Iberian Peninsula.
-
D.
System 3
System 3 is an early version of Apple’s classic Macintosh System Software, used on mid-1980s Macs such as the Macintosh Plus.
-
E.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea63fe2c8190825f6e9451f6aa50 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb4c70008190bb8712f46f40d6f8 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.