Triple
T10565948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Lawson |
E249349
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Victor Lawson |
E249349
|
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: Victor Lawson | Statement: [Victor Lawson, name, Victor Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor Lawson Context triple: [Victor Lawson, name, Victor Lawson]
-
A.
Victor Lawson
chosen
Victor Lawson was a prominent American newspaper publisher and owner of the Chicago Daily News in the late 19th and early 20th centuries.
-
B.
Charles Lawson
Charles Lawson is a botanist noted for his taxonomic work that formally described the Ponderosa pine.
-
C.
Ernest Lawson
Ernest Lawson was a Canadian-American painter associated with American Impressionism, known for his atmospheric urban and landscape scenes.
-
D.
Richard Lawson
Richard Lawson is an American actor known for his work in film and television, and for being married to fashion designer and businesswoman Tina Knowles.
-
E.
Victor Moore
Victor Moore was an American stage and film actor and comedian best known for his character roles in early 20th-century Hollywood musicals and comedies.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ce78c8190bf3227053ef88a48 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9988fca088190b13b651985677a6a |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 6, 2026, 12:36 p.m.