Triple
T13586990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauder |
E324591
|
entity |
| Predicate | hasPostTown |
P2711
|
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: [Lauder, hasPostTown, LAUDER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAUDER Context triple: [Lauder, hasPostTown, LAUDER]
-
A.
Lauder
chosen
Lauder is a small historic town in the Scottish Borders, known for its rural setting and nearby Thirlestane Castle.
-
B.
Aerin Lauder
Aerin Lauder is an American businesswoman, style icon, and heiress who founded the luxury lifestyle brand AERIN and serves as a longtime executive and creative force at Estée Lauder.
-
C.
Jo Carole Lauder
Jo Carole Lauder is an American philanthropist and art patron, known for her involvement in cultural and charitable organizations and her marriage into the Estée Lauder family.
-
D.
Laudon
Laudon is a German-language surname most notably associated with the 18th-century Austrian field marshal Ernst Gideon von Laudon.
-
E.
Laudner
Laudner is a surname most notably associated with former American Major League Baseball catcher Tim Laudner.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb054c6008190839384ce26e8f71a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc148d08190821614a866d1a7f0 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.