Triple
T21552170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domi Richardson |
E531789
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Richardson |
—
|
NE NERFINISHED |
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: Richardson | Statement: [Domi Richardson, familyName, Richardson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richardson Context triple: [Domi Richardson, familyName, Richardson]
-
A.
Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
-
B.
Richardson
chosen
Richardson is a common English-language surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
-
C.
Lawrence
Lawrence is a common English surname of Norman origin, derived from the given name Laurence and historically associated with various notable families and individuals.
-
D.
Lawrence
Lawrence is a city located within Marion County in the U.S. state of Indiana.
-
E.
Lawrence
Lawrence is a college town in northeastern Kansas best known as the home of the University of Kansas and its athletic programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb59375f481909d9e2b66d18c7c32 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:29 p.m.