Triple
T10765102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coty Inc. |
E253932
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
Lancaster
Lancaster is a premium skincare and sun care cosmetics brand known for its advanced anti-aging and sun protection products.
|
E884163
|
NE FINISHED |
How this triple was built (4 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: Lancaster | Statement: [Coty Inc., ownsBrand, Lancaster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lancaster Context triple: [Coty Inc., ownsBrand, Lancaster]
-
A.
Lancaster
The Lancaster is a British four-engined World War II heavy bomber renowned for its major role in night bombing campaigns and famous missions such as the "Dambusters" raid.
-
B.
Lancaster
Lancaster was the original settlement that later developed into the city of Lincoln, the capital of Nebraska.
-
C.
Lancaster
Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
-
D.
Lancaster
Lancaster is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
-
E.
Lancaster
Lancaster is a city in northern Los Angeles County, California, known for its location in the Antelope Valley of the Mojave Desert and its aerospace and renewable energy industries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lancaster Triple: [Coty Inc., ownsBrand, Lancaster]
Generated description
Lancaster is a premium skincare and sun care cosmetics brand known for its advanced anti-aging and sun protection products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lancaster Target entity description: Lancaster is a premium skincare and sun care cosmetics brand known for its advanced anti-aging and sun protection products.
-
A.
Lancaster
Lancaster is a city in northern Los Angeles County, California, known for its location in the Antelope Valley of the Mojave Desert and its aerospace and renewable energy industries.
-
B.
Lancaster
Lancaster is a historic city in south-central Pennsylvania known for its rich colonial heritage and proximity to Amish country.
-
C.
Lancaster
Lancaster is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
-
D.
Lancaster
Lancaster is an English surname most famously associated with the American actor Burt Lancaster.
-
E.
Lancaster
Lancaster is a historic city in North West England known for its medieval castle, Georgian architecture, and role as the county town of Lancashire.
- F. None of above. chosen
Provenance (5 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a5d5248190badfc5a8ab0215d6 |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de235fe7748190ba004f889da389ff |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2e05fdb08190b880f9158b14118b |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:16 p.m.