Triple
T16084445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Dalsey |
E390191
|
entity |
| Predicate | partnerInBusinessWith |
P282
|
FINISHED |
| Object | Robert Lynn |
E420489
|
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: Robert Lynn | Statement: [Adrian Dalsey, partnerInBusinessWith, Robert Lynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Lynn Context triple: [Adrian Dalsey, partnerInBusinessWith, Robert Lynn]
-
A.
Robert Lynn
chosen
Robert Lynn was a co-founder of DHL, the global logistics and courier company that helped pioneer international express shipping.
-
B.
Lyndon Byers
Lyndon Byers is a former Canadian professional ice hockey right winger best known for his tough, physical play with the Boston Bruins in the NHL.
-
C.
Robert Lynn Williamson
Robert Lynn Williamson was an American tobacco executive best known as a founder of the major cigarette manufacturer Brown & Williamson.
-
D.
Harlan Elldridge
Harlan Elldridge is a quirky, good-natured supporting character from the American television sitcom "Evening Shade."
-
E.
Donald H. Lynn
Donald H. Lynn was a physicist and researcher known for his involvement in scientific investigations of the Shroud of Turin as part of the Shroud of Turin Research Project.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1844d7d688190b5badac7a8014f89 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00606a3d5c8190a145ca35ce458f7e |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 4:59 a.m.