Triple
T2905433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Lawson |
E62750
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lawson |
E247033
|
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: Lawson | Statement: [Andrew Lawson, familyName, Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawson Context triple: [Andrew Lawson, familyName, Lawson]
-
A.
Lawson
chosen
Lawson is a surname most prominently associated with Tina Knowles-Lawson, the fashion designer and mother of Beyoncé and Solange Knowles.
-
B.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
C.
Lawrence
Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
-
D.
Lawrence
Lawrence is a masculine given name of English origin, derived from the Latin "Laurentius" meaning "from Laurentum" or "crowned with laurel."
-
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 (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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cee7988190875665145c3cd605 |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0560e0cac819097ddc2702e4479f5 |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 6, 2026, 10:11 p.m.