Triple
T7707743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Lawrence |
E174664
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Lawrence |
unclear NED1
|
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: David Lawrence | Statement: [David Lawrence, name, David Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lawrence Context triple: [David Lawrence, name, David Lawrence]
-
A.
David Lawrence
David Lawrence is an American composer and arranger known for his work on film and television scores, including contributions to projects like "American Pie."
-
B.
David Lawrence
David Lawrence was an American journalist and magazine editor best known as the founder of the news magazine U.S. News & World Report.
-
C.
Arthur Dunn
Arthur Dunn was an English educator and former footballer best known for establishing the prestigious preparatory institution Ludgrove School.
-
D.
William Bowers
William Bowers was an American screenwriter known for his sharp, witty scripts in mid-20th-century Hollywood crime films and comedies.
-
E.
Robert Lawrence
Robert Lawrence was a film editor best known for his work on major Hollywood productions, including the historical epic "Spartacus" (1960).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702aadea08190bf827f5d51535224 |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acc896008190bacae1ae79498103 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.