Triple
T13399996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Lawrence |
E319800
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | David Lawrence |
E1029352
|
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: [Steve Lawrence, hasChild, David Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lawrence Context triple: [Steve Lawrence, hasChild, 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.
David Lawrence
chosen
David Lawrence is the son of American singers Eydie Gormé and Steve Lawrence.
-
D.
Lawrence Irvine
Lawrence Irvine is the brother of English actor Jeremy Irvine, known for his role in the film "War Horse."
-
E.
Lawrence Robertson
Lawrence Robertson is a fictional corporate executive and influential leader within Isaac Asimov’s U.S. Robots and Mechanical Men universe, often depicted as a powerful figure shaping the development and regulation of robots.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730745a248190b32c11eeee618864 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.