Triple
T10400539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ring Lardner Jr. |
E245132
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | David Lardner |
E689177
|
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 Lardner | Statement: [Ring Lardner Jr., sibling, David Lardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lardner Context triple: [Ring Lardner Jr., sibling, David Lardner]
-
A.
David Lardner
chosen
David Lardner was an American journalist and war correspondent for The New Yorker who was killed while covering World War II.
-
B.
James Lardner
James Lardner was an American journalist and writer, known for his coverage of the Spanish Civil War and his death while fighting with the Abraham Lincoln Brigade.
-
C.
John Dolman
John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
-
D.
William Ashburner
William Ashburner was a 19th-century American mining engineer and geologist known for his work in mineral surveying and resource assessment in the western United States.
-
E.
Jonathan Latimer
Jonathan Latimer was an American crime novelist and screenwriter known for his hardboiled detective fiction and for adapting works by authors like Dashiell Hammett for film.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94af4ee6881909a36ee1a06a9d3e2 |
completed | April 10, 2026, 7:09 p.m. |
Created at: April 6, 2026, 12:07 p.m.