Triple
T14173928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The War Lord |
E351283
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Edward Lewis |
E235298
|
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: Edward Lewis | Statement: [The War Lord, producer, Edward Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Lewis Context triple: [The War Lord, producer, Edward Lewis]
-
A.
Edward Lewis
chosen
Edward Lewis was an American film producer best known for his work on major Hollywood films of the mid-20th century, including collaborations with director Stanley Kubrick and actor Kirk Douglas.
-
B.
Edward Lewis
Edward Lewis was a British music industry executive best known as the founder of the major record label Decca Records.
-
C.
Edward Gardner Lewis
Edward Gardner Lewis was an American publisher and entrepreneur best known for developing and promoting University City, Missouri, as a planned suburban community in the early 20th century.
-
D.
Edward Talbot
Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
-
E.
Peter B. Lewis
Peter B. Lewis was an American businessman and philanthropist best known as the longtime CEO of Progressive Insurance and a major donor to arts and education institutions.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193f85e88190b37a37747ec9d019 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:01 a.m.