Triple
T8616318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald S. Lauder |
E204047
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lauder |
E324591
|
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: Lauder | Statement: [Ronald S. Lauder, familyName, Lauder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauder Context triple: [Ronald S. Lauder, familyName, Lauder]
-
A.
Lauder
chosen
Lauder is a small historic town in the Scottish Borders, known for its rural setting and nearby Thirlestane Castle.
-
B.
Leadsom
Leadsom is the surname of British Conservative politician Andrea Leadsom, who has held several senior government roles in the United Kingdom.
-
C.
Henley
Henley is a small village and civil parish located in the county of Suffolk in eastern England.
-
D.
Avon
Avon is a suburban town in Hendricks County, Indiana, known for its residential communities and proximity to Indianapolis.
-
E.
Avon
Avon is a suburban town in central Connecticut known for its residential communities, schools, and proximity to the Farmington Valley.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4703b57c81909511de72fa5c38d7 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea923ae148190a973ef8ad6ccac9a |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.