Triple
T10475154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Célestine Ann Beyincé |
E247024
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Richard Lawson |
E252211
|
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: Richard Lawson | Statement: [Célestine Ann Beyincé, spouse, Richard Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Lawson Context triple: [Célestine Ann Beyincé, spouse, Richard Lawson]
-
A.
Richard Lawson
chosen
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.
-
B.
Charles Lawson
Charles Lawson is a botanist noted for his taxonomic work that formally described the Ponderosa pine.
-
C.
Victor Lawson
Victor Lawson was a prominent American newspaper publisher and owner of the Chicago Daily News in the late 19th and early 20th centuries.
-
D.
Laurence Eusden
Laurence Eusden was an early 18th-century English poet best known for serving as one of the youngest and least acclaimed Poets Laureate of the United Kingdom.
-
E.
Richard Jupp
Richard Jupp is an English drummer best known as a founding member and longtime percussionist of the alternative rock band Elbow.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094f6b408190a5a26b1a82e4a02b |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90db8b1288190bb6bb064cb0724e0 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:21 p.m.