Triple
T10214377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neutrogena |
E242404
|
entity |
| Predicate | successorOf |
P78
|
FINISHED |
| Object | Natone |
E242404
|
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: Natone | Statement: [Neutrogena, successorOf, Natone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natone Context triple: [Neutrogena, successorOf, Natone]
-
A.
Natone
chosen
Natone was the original company name of Neutrogena, a well-known American skincare and cosmetics brand.
-
B.
Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
-
C.
Tenneville
Tenneville is a rural municipality in the Ardennes region of southern Belgium, known for its forests and small villages.
-
D.
Bonta
Bonta is a surname most prominently associated with Rob Bonta, the Attorney General of California and the first Filipino American to hold that office.
-
E.
Aikton
Aikton is a small village and civil parish in Cumbria, England, situated within the Borough of Allerdale.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa273bdc8190bc4cf67a7923cebc |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:04 a.m.